FsPickler 0.9.4-alpha
A fast, general-purpose serialization framework for .NET written in F# that doubles as a pickler combinator library.
* Based on the notion of pickler combinators.
* Provides an automated pickler generation framework.
* Offers binary, xml and json pickle formats.
* Support for F# types, quotations, closures and cyclic objects.
* Fully backwards compatible with .NET serialization and open hierarchies.
* One of the fastest serializers for the .NET framework.
* Full support for the mono framework.
Showing the top 20 packages that depend on FsPickler.
| Packages | Downloads |
|---|---|
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
29 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
33 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
34 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
45 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
49 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
75 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
161 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
180 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
254 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
352 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
364 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
382 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
483 |
|
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
|
33 |
|
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
|
37 |
|
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
|
40 |
|
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
|
47 |
|
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
|
77 |
|
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
|
147 |
Major rewrite of the library. Include support for multiple pickle formats. Add support for object visitors.
This package has no dependencies.
| Version | Downloads | Last updated |
|---|---|---|
| 5.3.2 | 1,232 | 06/25/2020 |
| 5.3.1 | 23 | 02/14/2024 |
| 5.3.0 | 23 | 02/14/2024 |
| 5.2.2 | 95 | 07/04/2020 |
| 5.2.1 | 23 | 02/14/2024 |
| 5.2.0 | 30 | 07/04/2020 |
| 5.1.0 | 23 | 02/14/2024 |
| 5.0.0 | 27 | 02/14/2024 |
| 4.6.0 | 25 | 02/14/2024 |
| 4.5.0 | 26 | 02/14/2024 |
| 4.4.0 | 27 | 02/14/2024 |
| 4.0.1 | 32 | 02/14/2024 |
| 4.0.0 | 28 | 02/14/2024 |
| 3.4.0 | 23 | 02/14/2024 |
| 3.3.0 | 26 | 02/14/2024 |
| 3.2.0 | 25 | 02/14/2024 |
| 3.1.0 | 23 | 02/14/2024 |
| 3.0.0 | 24 | 02/14/2024 |
| 2.4.0 | 28 | 02/14/2024 |
| 2.3.0 | 24 | 02/14/2024 |
| 2.2.0 | 25 | 02/14/2024 |
| 2.1.0 | 27 | 02/14/2024 |
| 2.0.0 | 21 | 02/14/2024 |
| 1.8.1 | 26 | 02/14/2024 |
| 1.8.0 | 26 | 02/14/2024 |
| 1.7.2 | 27 | 02/14/2024 |
| 1.7.1 | 28 | 02/14/2024 |
| 1.7.0 | 24 | 02/14/2024 |
| 1.6.2 | 32 | 02/14/2024 |
| 1.6.1 | 23 | 02/14/2024 |
| 1.6.0 | 23 | 02/14/2024 |
| 1.5.2 | 27 | 02/14/2024 |
| 1.5.1 | 24 | 02/14/2024 |
| 1.5.0 | 29 | 02/14/2024 |
| 1.4.0 | 24 | 02/14/2024 |
| 1.3.7 | 29 | 02/14/2024 |
| 1.3.6 | 27 | 02/14/2024 |
| 1.3.5 | 46 | 02/14/2024 |
| 1.3.4 | 29 | 02/14/2024 |
| 1.3.3 | 24 | 02/14/2024 |
| 1.3.2 | 23 | 02/14/2024 |
| 1.3.1 | 25 | 02/14/2024 |
| 1.3.0 | 25 | 02/14/2024 |
| 1.2.23 | 24 | 02/14/2024 |
| 1.2.22 | 31 | 02/14/2024 |
| 1.2.21 | 25 | 02/14/2024 |
| 1.2.20 | 25 | 02/14/2024 |
| 1.2.19 | 27 | 02/14/2024 |
| 1.2.18 | 29 | 02/14/2024 |
| 1.2.17 | 28 | 02/14/2024 |
| 1.2.16 | 28 | 02/14/2024 |
| 1.2.15 | 28 | 02/14/2024 |
| 1.2.14 | 27 | 02/14/2024 |
| 1.2.13 | 26 | 02/14/2024 |
| 1.2.12 | 29 | 02/14/2024 |
| 1.2.11 | 27 | 02/14/2024 |
| 1.2.10 | 25 | 02/14/2024 |
| 1.2.9 | 27 | 02/14/2024 |
| 1.2.8 | 27 | 02/14/2024 |
| 1.2.7 | 29 | 02/14/2024 |
| 1.2.6 | 25 | 02/14/2024 |
| 1.2.5 | 46 | 02/14/2024 |
| 1.2.4 | 29 | 02/14/2024 |
| 1.2.3 | 32 | 02/14/2024 |
| 1.2.2 | 29 | 02/14/2024 |
| 1.2.1 | 27 | 02/14/2024 |
| 1.2.0 | 26 | 02/14/2024 |
| 1.0.19 | 24 | 02/14/2024 |
| 1.0.18 | 30 | 02/14/2024 |
| 1.0.17 | 28 | 02/14/2024 |
| 1.0.16 | 27 | 02/14/2024 |
| 1.0.15 | 26 | 02/14/2024 |
| 1.0.14 | 27 | 02/14/2024 |
| 1.0.13 | 22 | 02/14/2024 |
| 1.0.12 | 28 | 02/14/2024 |
| 1.0.11 | 24 | 02/14/2024 |
| 1.0.10 | 27 | 02/14/2024 |
| 1.0.9 | 28 | 02/14/2024 |
| 1.0.8 | 26 | 02/14/2024 |
| 1.0.7 | 23 | 02/14/2024 |
| 1.0.6 | 44 | 02/14/2024 |
| 1.0.5 | 31 | 02/14/2024 |
| 1.0.4 | 24 | 02/14/2024 |
| 1.0.3 | 27 | 02/14/2024 |
| 1.0.2 | 25 | 02/14/2024 |
| 1.0.1 | 26 | 02/14/2024 |
| 1.0.0 | 28 | 02/14/2024 |
| 0.9.11 | 28 | 02/14/2024 |
| 0.9.10 | 27 | 02/14/2024 |
| 0.9.9 | 23 | 02/14/2024 |
| 0.9.8 | 25 | 02/14/2024 |
| 0.9.7 | 29 | 02/14/2024 |
| 0.9.6 | 28 | 02/14/2024 |
| 0.9.5.1-alpha | 32 | 02/11/2024 |
| 0.9.5-alpha | 25 | 02/14/2024 |
| 0.9.4-alpha | 27 | 02/14/2024 |
| 0.8.6.2 | 34 | 02/14/2024 |
| 0.8.6.1 | 51 | 02/14/2024 |
| 0.8.6 | 26 | 02/14/2024 |
| 0.8.5.3 | 28 | 02/14/2024 |
| 0.8.5.2 | 27 | 02/14/2024 |
| 0.8.5.1 | 27 | 02/14/2024 |
| 0.8.5 | 50 | 02/14/2024 |
| 0.8.4.2 | 25 | 02/14/2024 |
| 0.8.4.1 | 28 | 02/14/2024 |
| 0.8.4 | 45 | 02/14/2024 |
| 0.8.3 | 22 | 02/14/2024 |
| 0.8.2 | 24 | 02/14/2024 |
| 0.8.1 | 28 | 02/14/2024 |
| 0.8.0 | 27 | 02/14/2024 |
| 0.7.2 | 29 | 02/14/2024 |
| 0.7.1 | 25 | 02/14/2024 |
| 0.7.0 | 31 | 02/14/2024 |
| 0.6.2 | 28 | 02/14/2024 |
| 0.6.1 | 45 | 02/14/2024 |
| 0.6.0 | 29 | 02/14/2024 |