📡 Fix documentation gaps found in a full GitHub Discussions review

Reviewed all 1008 GitHub Discussions (2020-2026) for recurring questions
that better or more visible documentation would have avoided. Adds/expands
documentation for ~26 distinct gaps, including:

- New "Debugging" page collecting natvis, GDB pretty printer, LLDB status,
  and JSON_DIAGNOSTICS pointers (previously scattered/undiscoverable)
- Thread-safety and schema-validation FAQ entries
- StringType's char-based requirement (no wstring/u16string/u32string)
- Brace-initialization-yields-arrays warning directly on the constructor
  reference page (previously only in the FAQ, missed by users reading
  the constructor docs)
- std::any exclusion from get<T>(), with a manual-dispatch example
- Non-string-keyed std::map serializing as an array of pairs
- ordered_json compatibility with NLOHMANN_DEFINE_TYPE_* macros
  (already worked, was undocumented)
- std::array truncation on size-mismatched conversion (no exception)
- static_cast vs. get<std::optional<T>>() divergence
- Recipe for omitting a std::optional field instead of emitting null
- No built-in nesting-depth limit during parsing + a callback-based
  workaround recipe
- Recipe for streaming a large homogeneous array via parser callbacks
- operator>> stream-position semantics for concatenated JSON values
- JSON Pointer array-vs-object creation rule for non-existing paths
- CMake target name (nlohmann_json_modules) needed to link C++20 modules
- ESP-IDF/PlatformIO: no official package, link to a community fork
- get(key, default) as the Python dict.get() equivalent
- reserve() recipe for pre-allocating array capacity
- JSONC as an alias for the existing ignore_comments/ignore_trailing_commas
  combination (distinct from the unsupported JSON5)
- items() dereferenced-element type: decltype() idiom + detail-namespace
  stability caveat
- Various macro/type-conversion limitations (MSGPACK_DEFINE_ARRAY
  equivalent, char-array round-tripping, ADL serializer macro gap)

Signed-off-by: Niels Lohmann <mail@nlohmann.me>
This commit is contained in:
Niels Lohmann
2026-07-10 12:01:11 +02:00
parent 4d8e7a7210
commit 40f3caad4d
23 changed files with 369 additions and 3 deletions
+16 -1
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@@ -115,7 +115,22 @@ basic_json(basic_json&& other) noexcept;
Function [`array()`](array.md) and [`object()`](object.md) force array and object creation from initializer lists,
respectively.
!!! warning "Brace initialization yields arrays"
Because this constructor takes an `initializer_list_t`, brace-initializing a `json`/`ordered_json` from
another `json` value wraps it in a single-element array rather than copying it:
```cpp
json j1 = "hello";
json j2{j1}; // [!] j2 is ["hello"], NOT a copy of j1
json j3(j1); // j3 is "hello" -- parentheses copy as expected
```
See the FAQ entry on [brace initialization](../../home/faq.md#brace-initialization-yields-arrays) for the
full explanation, an opt-in macro to change this behavior, and how to explicitly create a single-element
array (`json::array({value})`) if that is what you want.
6. Constructs a JSON array value by creating `cnt` copies of a passed value. In case `cnt` is `0`, an empty array is
created.
@@ -37,6 +37,14 @@ represent a byte array in modern C++.
`BinaryType`
: container type to store arrays
Although not formally expressed as a C++ concept, `BinaryType` must be default-constructible,
copy/move-constructible, and support `push_back()`, `.data()`, and `.size()`, because
[`byte_container_with_subtype`](../byte_container_with_subtype/index.md) derives directly from it. Its
`value_type` must additionally be exactly one byte wide (e.g., `std::uint8_t`/`char`/`std::byte`): the binary
serializers (CBOR, MessagePack, BSON, UBJSON) read and write the container's raw bytes via
`reinterpret_cast`, which is only correct for byte-sized elements -- a container like
`#!cpp std::vector<std::intptr_t>` will not work as `BinaryType`.
## Notes
#### Default type
+11
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@@ -46,6 +46,17 @@ for (auto& [key, val] : j_object.items())
}
```
If you need to name the type of the dereferenced element explicitly (e.g., to write a standalone function that
takes it as a parameter, or to use `items()` with `std::for_each`), use `decltype`:
```cpp
using element_type = decltype(*j_object.items().begin());
```
The per-element type (`iteration_proxy_value`) lives in the library's internal `detail` namespace and is
intentionally unspecified as a stable, named type -- `decltype` is the supported way to obtain it, but its exact
name/definition may change between versions.
## Return value
iteration proxy object wrapping the current value with an interface to use in range-based for loops
@@ -124,6 +124,15 @@ Strong exception safety: if an exception occurs, the original value stays intact
filled with `#!json null`.
- The special value `-` is treated as a synonym for the index past the end.
!!! note "Creating intermediate levels that don't exist yet"
When the JSON pointer traverses intermediate levels that don't exist at all yet (not just a missing
leaf), each missing level is created as an array or an object depending on whether the corresponding
pointer token parses as a non-negative integer: a numeric token creates an array, a non-numeric token
creates an object. For example, on an initially `#!json null` value, `/foo/0/0/0` creates nested arrays,
while `/foo/one/one/one` creates nested objects. This is not specified by the JSON Pointer RFC; it is
this library's own, intentional disambiguation rule. See also [JSON Pointer](../../features/json_pointer.md).
## Examples
??? example "Example: (1) access specified array element"
@@ -18,6 +18,11 @@ JSON class into byte-sized characters during deserialization.
: the container to store strings (e.g., `std::string`). Note this container is used for keys/names in objects, see
[object_t](object_t.md).
`StringType` must have a `char`-compatible `value_type`: the library relies on UTF-8/`char`-based storage and
processing internally, so `std::wstring`, `std::u16string`, and `std::u32string` are **not** valid choices for
`StringType`. To work with wide-character data, convert it to/from UTF-8 at the boundary instead -- see the
FAQ's [wide string handling](../../home/faq.md#wide-string-handling) section for a conversion recipe.
## Notes
#### Default type
+4
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@@ -50,6 +50,10 @@ ValueType value(const json_pointer& ptr,
- Unlike [`operator[]`](operator[].md), this function does not implicitly add an element to the position defined by
`key`/`ptr` key. This function is furthermore also applicable to const objects.
!!! note
This is equivalent to Python's `dict.get(key, default)`.
## Template parameters
`KeyType`
@@ -62,6 +62,9 @@ See the examples below for the concrete generated code.
- The current implementation is limited to at most 63 member variables. If you want to serialize/deserialize types
with more than 63 member variables, you need to define the `to_json`/`from_json` functions manually.
- These macros always produce object-style (named-key) JSON, one key per member. There is no macro variant
that serializes a struct's members positionally into a JSON array; for that, write `to_json`/`from_json` by
hand, building/reading a `json::array()` of the members in order.
## Examples
@@ -63,6 +63,9 @@ See the examples below for the concrete generated code.
- The current implementation is limited to at most 63 member variables. If you want to serialize/deserialize types
with more than 63 member variables, you need to define the `to_json`/`from_json` functions manually.
- These macros always produce object-style (named-key) JSON, one key per member. There is no macro variant
that serializes a struct's members positionally into a JSON array; for that, write `to_json`/`from_json` by
hand, building/reading a `json::array()` of the members in order.
## Examples
+12
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@@ -33,6 +33,18 @@ A UTF-8 byte order mark is silently ignored.
Invalid Unicode escapes and unpaired surrogates in the input are reported as
[`parse_error.101`](../home/exceptions.md#jsonexceptionparse_error101) with a detailed message.
`operator>>` parses exactly one JSON value and leaves the stream positioned right after it, so it can be called
repeatedly to read a sequence of concatenated JSON values from the same stream:
```cpp
json j1, j2;
input >> j1; // parses the first value, stream now positioned right after it
input >> j2; // parses the next value
```
Note this does **not** work for [JSON Lines](../features/parsing/json_lines.md) (newline-delimited JSON) input --
see that page for why and for the recommended alternative.
!!! warning "Deprecation"
This function replaces function `#!cpp std::istream& operator<<(basic_json& j, std::istream& i)` which has
@@ -180,6 +180,49 @@ For _derived_ classes and structs, use the following macros
}
```
!!! warning "Overriding conversions for natively-supported types"
The library already provides built-in `to_json`/`from_json` conversions for STL containers such as
`std::vector`, `std::array`, and `std::map`. Defining your own free-function `to_json`/`from_json` overload
for one of these container types directly (instead of for your own type) can conflict with the built-in
overload during overload resolution, producing compiler errors ("no matching overloaded function",
"call is ambiguous") that vary by compiler and library version. If you need different conversion behavior
for a container type the library already handles, wrap it in your own type (or use `adl_serializer`
specialization, as shown [above](#how-do-i-convert-third-party-types) for `boost::optional`) instead of
trying to re-specialize `to_json`/`from_json` for the container type itself.
!!! warning "Raw C-style arrays"
Members declared as raw C-style arrays (e.g., `char buf[1024]`) do not round-trip safely through
`NLOHMANN_DEFINE_TYPE_*` macros or the default (de)serializers: `to_json` serializes any `char` array as a
JSON *string* (matching the `std::string`-constructible overload), but the `from_json` overload for
fixed-size arrays expects a JSON *array* and iterates it element-wise, which fails with a `type_error` when
given a string. Use `std::string`, `std::array<char, N>`, or a manually written `to_json`/`from_json` pair
for such members instead.
!!! note "Macros and `nlohmann::ordered_json`"
The `NLOHMANN_DEFINE_TYPE_*`/`NLOHMANN_DEFINE_DERIVED_TYPE_*` macros are generic over any `basic_json`
specialization, including `nlohmann::ordered_json`. Simply use `ordered_json` as the target type and members
are serialized in declaration order -- no separate macro or extra code is needed.
```cpp
namespace ns {
NLOHMANN_DEFINE_TYPE_NON_INTRUSIVE(person, name, address, age)
}
ns::person p{"Ned Flanders", "744 Evergreen Terrace", 60};
nlohmann::ordered_json j = p; // keys appear in declaration order: name, address, age
```
!!! note "No macro for non-default-constructible types"
There is currently no `NLOHMANN_DEFINE_TYPE_*`-style macro for types that are not
[DefaultConstructible](https://en.cppreference.com/w/cpp/named_req/DefaultConstructible). This is not an
intentional omission of documentation -- no such macro exists yet; see
[How can I use `get()` for non-default constructible/non-copyable types?](#how-can-i-use-get-for-non-default-constructiblenon-copyable-types)
for the manual pattern to use instead.
## How do I convert third-party types?
This requires a bit more advanced technique. But first, let us see how this conversion mechanism works:
@@ -270,6 +313,49 @@ namespace nlohmann {
}
```
## Why can't I convert to/from `std::any`?
`std::any` is intentionally excluded from `get<T>()`/generic conversion support, so `get<std::any>()` and
containers like `std::map<std::string, std::any>` fail to compile by design -- there is no way to know, from a
`json` value alone, which concrete type to store inside the `std::any`. To work with heterogeneous JSON values,
dispatch on the value's type manually and construct the `std::any` (or extract from it) yourself:
```cpp
std::any value_to_any(const json& j) {
if (j.is_boolean()) { return j.get<bool>(); }
if (j.is_number_integer()) { return j.get<int>(); }
if (j.is_number_float()) { return j.get<double>(); }
if (j.is_string()) { return j.get<std::string>(); }
// ... handle other types (arrays, objects) as needed for your use case
return {};
}
json any_to_json(const std::any& a) {
if (a.type() == typeid(bool)) { return std::any_cast<bool>(a); }
if (a.type() == typeid(int)) { return std::any_cast<int>(a); }
if (a.type() == typeid(double)) { return std::any_cast<double>(a); }
if (a.type() == typeid(std::string)) { return std::any_cast<std::string>(a); }
return nullptr;
}
```
## Why does serializing a `std::map`/`std::unordered_map` with non-string keys produce an array?
A `std::map`/`std::unordered_map` whose key type is not string-like (e.g., `std::map<int, std::string>`) is
serialized as a JSON *array* of 2-element `[key, value]` arrays, not as a JSON object -- JSON object keys must be
strings, so the library cannot represent an integer-keyed map as an object.
```cpp
std::map<int, std::string> m{{1, "one"}, {2, "two"}};
json j = m;
// j is [[1,"one"],[2,"two"]], not {"1":"one","2":"two"}
```
## Why does `std::wstring` convert or dump incorrectly?
The library assumes UTF-8 encoding internally, so `std::wstring` is not supported out of the box -- see the FAQ
entry on [wide string handling](../home/faq.md#wide-string-handling) for why, and for a UTF-8 conversion recipe.
## Can I write my own serializer? (Advanced use)
Yes. You might want to take a look at [`unit-udt.cpp`](https://github.com/nlohmann/json/blob/develop/tests/src/unit-udt.cpp) in the test suite, to see a few examples.
+1 -1
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@@ -11,7 +11,7 @@ This library does not support comments *by default*. It does so for three reason
3. It is dangerous for interoperability if some libraries add comment support while others do not. Please check [The Harmful Consequences of the Robustness Principle](https://tools.ietf.org/html/draft-iab-protocol-maintenance-01) on this.
However, you can set parameter `ignore_comments` to `#!cpp true` in the [`parse`](../api/basic_json/parse.md) function to ignore `//` or `/* */` comments. Comments will then be treated as whitespace.
However, you can set parameter `ignore_comments` to `#!cpp true` in the [`parse`](../api/basic_json/parse.md) function to ignore `//` or `/* */` comments. Comments will then be treated as whitespace. Combined with `ignore_trailing_commas` (also a `parse` parameter), this covers what is commonly referred to as **JSONC** (JSON with Comments, as used e.g. by Visual Studio Code's `.jsonc` files) -- comments and trailing commas, nothing more. This is a different, smaller extension than [JSON5](https://json5.org), which additionally allows unquoted keys, single-quoted strings, and other syntax changes that this library does not support.
For more information, see [JSON With Commas and Comments (JWCC)](https://nigeltao.github.io/blog/2021/json-with-commas-comments.html).
+43
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@@ -84,6 +84,49 @@ which forces the explicit `get` form and can catch unintended conversions at com
j_null.get_to(opt); // ✅ std::nullopt
```
!!! warning "`static_cast` and `get<std::optional<T>>()` are not guaranteed equivalent"
`operator ValueType()` (used by `static_cast` and implicit conversions) intentionally excludes
`std::optional<T>` from delegating to `get<T>()`, to avoid a constructor ambiguity with
`std::optional<T>`'s own converting constructor from `basic_json`. As a result,
`static_cast<std::optional<T>>(json_value)` goes through `std::optional<T>`'s own converting
constructor rather than through `get<std::optional<T>>()`, which can behave differently -- for example,
with a custom `adl_serializer<std::optional<T>>` specialization. Prefer `get<std::optional<T>>()`/`get_to()`
over `static_cast` for optional types.
!!! warning "Converting to a fixed-size `std::array` does not check length"
Converting a JSON array to `#!cpp std::array<T, N>` does not check that the JSON array's size matches `N`:
if the JSON array is longer, the extra elements are silently dropped; if it is shorter, the remaining
`std::array` elements are left default-constructed. No exception is thrown in either case.
```cpp
json j = {1, 2, 3, 4, 5};
auto a = j.get<std::array<int, 3>>(); // {1, 2, 3} -- elements 4 and 5 silently dropped
```
## Omitting a field when serializing `std::optional`
By default, `to_json` for `std::optional<T>` writes either the value or `#!json null` -- there is no built-in way
to make a field disappear from the serialized object entirely when the `std::optional` is `std::nullopt`. Because
a specialization of `adl_serializer<std::optional<T>>` only controls how the *value* is converted (it cannot
prevent the containing object's `to_json` from inserting the key in the first place), omission has to be
implemented in the *containing* type's `to_json`:
```cpp
struct person {
std::string name;
std::optional<int> age;
};
void to_json(json& j, const person& p) {
j = json{{"name", p.name}};
if (p.age) {
j["age"] = *p.age; // key is only inserted when the optional has a value
}
}
```
## Putting values in
The reverse direction works the same way: assigning or constructing a `json` from a C++ value converts it to JSON.
@@ -4,7 +4,8 @@
In many situations, such as configuration files, missing values are not exceptional, but may be treated as if a default
value was present. For this case, use [`value(key, default_value)`](../../api/basic_json/value.md) which takes the key
you want to access and a default value in case there is no value stored with that key.
you want to access and a default value in case there is no value stored with that key. This is equivalent to Python's
`dict.get(key, default)`.
## Example
@@ -102,6 +102,20 @@ that the passed index is the new maximal index. Intermediate values are filled w
`operator[]` can only be used with objects (with a string argument) or with arrays (with a numeric argument). For
other types, a [`basic_json::type_error`](../../home/exceptions.md#jsonexceptiontype_error305) is thrown.
## Performance: reserving array capacity
There is no public `reserve(count)` member on `basic_json` for pre-allocating array capacity. If you are building
a large array incrementally (e.g., via repeated `push_back()`) and know its final size ahead of time, you can
reserve capacity via `get_ref()` to access the underlying `array_t` directly:
```cpp
json j = json::array();
j.get_ref<json::array_t&>().reserve(1000);
for (int i = 0; i < 1000; ++i) {
j.push_back(i);
}
```
## Summary
| scenario | non-const value | const value |
@@ -77,6 +77,11 @@ auto val2 = j.at(json::json_pointer("/nested/three/1")); // false
auto val3 = j.value(json::json_pointer("/nested/four"), 0); // 0
```
!!! note "Creating intermediate levels that don't exist"
See the [`operator[]` notes](../api/basic_json/operator%5B%5D.md#return-value) for how array vs. object is
decided when a pointer creates intermediate levels that don't exist yet.
## Flatten / unflatten
The library implements a function [`flatten`](../api/basic_json/flatten.md) to convert any JSON document into a JSON
@@ -47,3 +47,6 @@ JSON Lines input with more than one value is treated as invalid JSON by the [`pa
```
with a JSON Lines input does not work, because the parser will try to parse one value after the last one.
This is different from parsing a stream of *concatenated* (non-newline-delimited) JSON values, for which
`operator>>` does work -- see its [notes](../../api/operator_gtgt.md#notes) for details.
@@ -58,6 +58,14 @@ table describes the values of the parameters `depth`, `event`, and `parsed`.
| `array_end` | 1 | `#!json [52.519444,13.406667]` |
| `object_end` | 0 | `#!json {"location":[52.519444,13.406667],"name":"Berlin"}` |
!!! note "No built-in nesting depth limit"
The library has no built-in limit on recursion/nesting depth while parsing. A parser callback can only
*discard* content it has already parsed (by returning `#!c false`); it cannot make parsing fail once a
nesting limit is exceeded partway through reading a deeply nested value. If you need to reject over-deep
untrusted input outright, track `depth` in a callback and `throw` from it once your limit is exceeded (a
thrown exception propagates out of `parse()` as usual).
## Return value
Discarding a value (i.e., returning `#!c false`) has different effects depending on the context in which the function
@@ -112,3 +120,51 @@ This approach has two limitations:
For strict validation with precise error positions, implementing a [SAX interface](sax_interface.md) instead gives
access to the parser's position information directly.
## Recipe: streaming a large homogeneous array
A common use case is a huge top-level array of many similarly-shaped objects, too large to hold entirely in
memory as a `#!c json` value. A parser callback can hand off each completed element to a user function and then
discard it, so memory usage stays bounded by a single element (plus the not-yet-parsed tail of the input) rather
than the whole document. Since the top-level array's `array_start`/`array_end` are reported at `depth == 0` (its
parent is the document root), the object elements it contains are reported at `depth == 1`:
??? example
```cpp
std::ifstream input("large_array.json");
auto callback = [](int depth, json::parse_event_t event, json& parsed) -> bool {
if (depth == 1 && event == json::parse_event_t::object_end) {
handle_element(parsed); // process the element, e.g. write it elsewhere
return false; // discard it -- frees its memory before the next one is parsed
}
return true; // keep everything else, including the (by then empty) top-level array
};
json::parse(input, callback);
```
If the array's elements are scalars or nested arrays instead of objects, check for `parse_event_t::value` or
`parse_event_t::array_end` at `depth == 1` instead. The same approach works for a top-level *object* of many
homogeneous values by checking `object_end`/`value` events at `depth == 1` there too.
## Recipe: max nesting depth via a callback
Since there is no built-in nesting-depth limit (see the note above), a callback can enforce one manually by
tracking the maximum `depth` seen and throwing once it is exceeded:
??? example
```cpp
constexpr int max_depth = 32;
auto callback = [](int depth, json::parse_event_t /*event*/, json& /*parsed*/) -> bool {
if (depth > max_depth) {
throw std::runtime_error("maximum nesting depth exceeded");
}
return true;
};
json::parse(input, callback);
```
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@@ -151,6 +151,18 @@ In this class, the object's limit of nesting is not explicitly constrained. Howe
Objects are stored as pointers in a `basic_json` type. That is, for any access to object values, a pointer of type `object_t*` must be dereferenced.
### Converting maps with non-string keys
A `std::map`/`std::unordered_map` whose key type is not string-like (e.g., `std::map<int, std::string>`) is
converted to a JSON *array* of 2-element `[key, value]` arrays rather than a JSON object, because JSON object
keys must be strings:
```cpp
std::map<int, std::string> m{{1, "one"}, {2, "two"}};
json j = m;
// j is [[1,"one"],[2,"two"]], not {"1":"one","2":"two"}
```
## Arrays
+31
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@@ -0,0 +1,31 @@
# Debugging
This page collects the library's built-in debugger integrations and other debugging-related features. They are
not linked from a single place elsewhere in the docs, so are collected here.
## Visual Studio (natvis)
The repository ships [`nlohmann_json.natvis`](https://github.com/nlohmann/json/blob/develop/nlohmann_json.natvis)
at its root, a [Natvis](https://learn.microsoft.com/en-us/visualstudio/debugger/create-custom-views-of-native-objects)
file that gives `json`/`ordered_json` values a friendly, key/value debugger view instead of showing raw internal
fields, when debugging with the MSVC debug engine (`cppvsdbg`) in Visual Studio or VS Code.
Debug engines that wrap LLDB instead of the MSVC debug engine (for example, `codelldb` in VS Code) only have
partial/experimental Natvis support, and commonly fall back to showing raw internal fields even with the
`.natvis` file present. Switching to `cppvsdbg` where available, or checking your debug extension's own Natvis
support/version, are the next things to try if this happens. There is currently no bundled LLDB-native
pretty-printer script in this repository.
## GDB
The repository ships a [GDB Python pretty printer](https://github.com/nlohmann/json/tree/develop/tools/gdb_pretty_printer)
under `tools/gdb_pretty_printer`, with its own usage instructions in that directory's `README.md`.
## Extended exception diagnostics
Defining [`JSON_DIAGNOSTICS`](../api/macros/json_diagnostics.md) before including the library augments
`type_error`/`out_of_range`-style exceptions with a JSON Pointer to the offending value, which can help pinpoint
where in a large document a runtime error occurred. This only applies to exceptions thrown *after* a value
exists (e.g. during element access); parse errors, which happen before any value exists to point at, are not
covered by this mechanism -- see [Parsing and exceptions](../features/parsing/parse_exceptions.md) for how parse
errors report their own location instead.
+23
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@@ -129,6 +129,29 @@ As described [above](#parse-errors-reading-non-ascii-characters), the library as
}
```
## Usage
### Thread safety
!!! question
Is `basic_json` thread-safe?
No. `basic_json` provides no built-in synchronization, the same as `std::map` or `std::vector`. Concurrent reads of
the same value from multiple threads are safe, as are concurrent (non-overlapping) accesses to independent `json`
objects. However, any concurrent write to a `json` object -- or a concurrent read while another thread writes to the
same object -- is a data race and requires external synchronization (e.g., a `std::mutex`) by the caller.
### Schema validation
!!! question
Does this library support JSON Schema validation?
Not directly, but the companion project [json-schema-validator](https://github.com/pboettch/json-schema-validator)
builds JSON Schema (draft 4, 6, 7, and 2019-09) validation on top of this library and is a common recommendation
for this use case.
## Exceptions
### Parsing without exceptions
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@@ -181,3 +181,15 @@ Execute the test suite with [Valgrind](https://valgrind.org). This option is `OF
Build the experimental [C++ module](../features/modules.md) `nlohmann.json` (requires CMake 3.28 or later and C++20).
This option is `OFF` by default.
A consuming project must link the dedicated `nlohmann_json_modules` CMake target (not just
`nlohmann_json::nlohmann_json`) for `import nlohmann.json;` to resolve:
```cmake
set(NLOHMANN_JSON_BUILD_MODULES ON)
add_subdirectory(path/to/json)
add_executable(myproject main.cpp)
target_link_libraries(myproject PRIVATE nlohmann_json_modules)
target_compile_definitions(myproject PRIVATE NLOHMANN_JSON_BUILD_MODULES)
```
@@ -930,6 +930,15 @@ If you are using [CocoaPods](https://cocoapods.org), you can use the library by
to your podfile (see [an example](https://bitbucket.org/benman/nlohmann_json-cocoapod/src/master/)). Please file issues
[here](https://bitbucket.org/benman/nlohmann_json-cocoapod/issues?status=new&status=open).
## ESP-IDF and PlatformIO
There is no official package published to the [ESP-IDF Component Registry](https://components.espressif.com) or the
[PlatformIO Registry](https://registry.platformio.org). A community-maintained fork,
[Johboh/nlohmann-json](https://github.com/Johboh/nlohmann-json), publishes this library to both registries on each
new release and can be used as an unofficial component/package for ESP-IDF and PlatformIO projects. As the library
is header-only, it can otherwise be used directly by adding its `include/` directory to your component's/project's
include paths, like any other integration method described on this page.
![](https://img.shields.io/cocoapods/v/nlohmann_json)
!!! warning
+1
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@@ -56,6 +56,7 @@ nav:
- home/architecture.md
- home/customers.md
- home/sponsors.md
- home/debugging.md
- Features:
- features/index.md
- features/arbitrary_types.md