FsPickler 0.9.5.1-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 |
|---|---|
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PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
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25 |
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PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
27 |
|
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.
|
40 |
|
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.
|
72 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
151 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
175 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
250 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
348 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
362 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
376 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
480 |
|
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
|
30 |
|
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
|
32 |
|
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
|
34 |
|
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.
|
44 |
|
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
|
73 |
|
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
|
143 |
Pickle format refinements. Bug fixes.
This package has no dependencies.
| Version | Downloads | Last updated |
|---|---|---|
| 5.3.2 | 1,220 | 06/25/2020 |
| 5.3.1 | 20 | 02/14/2024 |
| 5.3.0 | 19 | 02/14/2024 |
| 5.2.2 | 91 | 07/04/2020 |
| 5.2.1 | 19 | 02/14/2024 |
| 5.2.0 | 24 | 07/04/2020 |
| 5.1.0 | 19 | 02/14/2024 |
| 5.0.0 | 21 | 02/14/2024 |
| 4.6.0 | 21 | 02/14/2024 |
| 4.5.0 | 22 | 02/14/2024 |
| 4.4.0 | 23 | 02/14/2024 |
| 4.0.1 | 26 | 02/14/2024 |
| 4.0.0 | 23 | 02/14/2024 |
| 3.4.0 | 19 | 02/14/2024 |
| 3.3.0 | 22 | 02/14/2024 |
| 3.2.0 | 19 | 02/14/2024 |
| 3.1.0 | 19 | 02/14/2024 |
| 3.0.0 | 20 | 02/14/2024 |
| 2.4.0 | 23 | 02/14/2024 |
| 2.3.0 | 20 | 02/14/2024 |
| 2.2.0 | 21 | 02/14/2024 |
| 2.1.0 | 22 | 02/14/2024 |
| 2.0.0 | 17 | 02/14/2024 |
| 1.8.1 | 22 | 02/14/2024 |
| 1.8.0 | 20 | 02/14/2024 |
| 1.7.2 | 23 | 02/14/2024 |
| 1.7.1 | 23 | 02/14/2024 |
| 1.7.0 | 20 | 02/14/2024 |
| 1.6.2 | 24 | 02/14/2024 |
| 1.6.1 | 19 | 02/14/2024 |
| 1.6.0 | 19 | 02/14/2024 |
| 1.5.2 | 23 | 02/14/2024 |
| 1.5.1 | 20 | 02/14/2024 |
| 1.5.0 | 25 | 02/14/2024 |
| 1.4.0 | 20 | 02/14/2024 |
| 1.3.7 | 25 | 02/14/2024 |
| 1.3.6 | 20 | 02/14/2024 |
| 1.3.5 | 42 | 02/14/2024 |
| 1.3.4 | 23 | 02/14/2024 |
| 1.3.3 | 19 | 02/14/2024 |
| 1.3.2 | 19 | 02/14/2024 |
| 1.3.1 | 21 | 02/14/2024 |
| 1.3.0 | 22 | 02/14/2024 |
| 1.2.23 | 19 | 02/14/2024 |
| 1.2.22 | 26 | 02/14/2024 |
| 1.2.21 | 21 | 02/14/2024 |
| 1.2.20 | 21 | 02/14/2024 |
| 1.2.19 | 20 | 02/14/2024 |
| 1.2.18 | 23 | 02/14/2024 |
| 1.2.17 | 24 | 02/14/2024 |
| 1.2.16 | 23 | 02/14/2024 |
| 1.2.15 | 22 | 02/14/2024 |
| 1.2.14 | 23 | 02/14/2024 |
| 1.2.13 | 21 | 02/14/2024 |
| 1.2.12 | 23 | 02/14/2024 |
| 1.2.11 | 23 | 02/14/2024 |
| 1.2.10 | 21 | 02/14/2024 |
| 1.2.9 | 23 | 02/14/2024 |
| 1.2.8 | 21 | 02/14/2024 |
| 1.2.7 | 25 | 02/14/2024 |
| 1.2.6 | 21 | 02/14/2024 |
| 1.2.5 | 43 | 02/14/2024 |
| 1.2.4 | 23 | 02/14/2024 |
| 1.2.3 | 26 | 02/14/2024 |
| 1.2.2 | 22 | 02/14/2024 |
| 1.2.1 | 23 | 02/14/2024 |
| 1.2.0 | 21 | 02/14/2024 |
| 1.0.19 | 20 | 02/14/2024 |
| 1.0.18 | 23 | 02/14/2024 |
| 1.0.17 | 23 | 02/14/2024 |
| 1.0.16 | 21 | 02/14/2024 |
| 1.0.15 | 22 | 02/14/2024 |
| 1.0.14 | 23 | 02/14/2024 |
| 1.0.13 | 17 | 02/14/2024 |
| 1.0.12 | 22 | 02/14/2024 |
| 1.0.11 | 20 | 02/14/2024 |
| 1.0.10 | 23 | 02/14/2024 |
| 1.0.9 | 21 | 02/14/2024 |
| 1.0.8 | 22 | 02/14/2024 |
| 1.0.7 | 19 | 02/14/2024 |
| 1.0.6 | 39 | 02/14/2024 |
| 1.0.5 | 27 | 02/14/2024 |
| 1.0.4 | 20 | 02/14/2024 |
| 1.0.3 | 23 | 02/14/2024 |
| 1.0.2 | 20 | 02/14/2024 |
| 1.0.1 | 22 | 02/14/2024 |
| 1.0.0 | 22 | 02/14/2024 |
| 0.9.11 | 23 | 02/14/2024 |
| 0.9.10 | 22 | 02/14/2024 |
| 0.9.9 | 19 | 02/14/2024 |
| 0.9.8 | 21 | 02/14/2024 |
| 0.9.7 | 24 | 02/14/2024 |
| 0.9.6 | 22 | 02/14/2024 |
| 0.9.5.1-alpha | 28 | 02/11/2024 |
| 0.9.5-alpha | 20 | 02/14/2024 |
| 0.9.4-alpha | 23 | 02/14/2024 |
| 0.8.6.2 | 28 | 02/14/2024 |
| 0.8.6.1 | 44 | 02/14/2024 |
| 0.8.6 | 22 | 02/14/2024 |
| 0.8.5.3 | 24 | 02/14/2024 |
| 0.8.5.2 | 22 | 02/14/2024 |
| 0.8.5.1 | 22 | 02/14/2024 |
| 0.8.5 | 46 | 02/14/2024 |
| 0.8.4.2 | 21 | 02/14/2024 |
| 0.8.4.1 | 23 | 02/14/2024 |
| 0.8.4 | 40 | 02/14/2024 |
| 0.8.3 | 18 | 02/14/2024 |
| 0.8.2 | 19 | 02/14/2024 |
| 0.8.1 | 22 | 02/14/2024 |
| 0.8.0 | 23 | 02/14/2024 |
| 0.7.2 | 24 | 02/14/2024 |
| 0.7.1 | 21 | 02/14/2024 |
| 0.7.0 | 24 | 02/14/2024 |
| 0.6.2 | 24 | 02/14/2024 |
| 0.6.1 | 40 | 02/14/2024 |
| 0.6.0 | 26 | 02/14/2024 |