FsPickler 1.0.0
A fast object serialization library for .NET written in F#. * Based on the functional programming concept of pickler combinators. * Provides an automated pickler generation framework. * Offers binary, xml and json pickle formats. * Supports 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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22 |
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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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24 |
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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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26 |
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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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37 |
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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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41 |
|
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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70 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
145 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
174 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
243 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
342 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
360 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
373 |
|
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
|
477 |
|
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
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27 |
|
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
|
28 |
|
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.
|
33 |
|
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
|
39 |
|
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
|
68 |
|
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
|
139 |
Add support for IgnoreDataMemberAttribute.
This package has no dependencies.
| Version | Downloads | Last updated |
|---|---|---|
| 5.3.2 | 1,213 | 06/25/2020 |
| 5.3.1 | 16 | 02/14/2024 |
| 5.3.0 | 17 | 02/14/2024 |
| 5.2.2 | 88 | 07/04/2020 |
| 5.2.1 | 16 | 02/14/2024 |
| 5.2.0 | 20 | 07/04/2020 |
| 5.1.0 | 16 | 02/14/2024 |
| 5.0.0 | 17 | 02/14/2024 |
| 4.6.0 | 18 | 02/14/2024 |
| 4.5.0 | 19 | 02/14/2024 |
| 4.4.0 | 19 | 02/14/2024 |
| 4.0.1 | 20 | 02/14/2024 |
| 4.0.0 | 18 | 02/14/2024 |
| 3.4.0 | 17 | 02/14/2024 |
| 3.3.0 | 18 | 02/14/2024 |
| 3.2.0 | 16 | 02/14/2024 |
| 3.1.0 | 15 | 02/14/2024 |
| 3.0.0 | 17 | 02/14/2024 |
| 2.4.0 | 20 | 02/14/2024 |
| 2.3.0 | 17 | 02/14/2024 |
| 2.2.0 | 18 | 02/14/2024 |
| 2.1.0 | 19 | 02/14/2024 |
| 2.0.0 | 14 | 02/14/2024 |
| 1.8.1 | 19 | 02/14/2024 |
| 1.8.0 | 18 | 02/14/2024 |
| 1.7.2 | 20 | 02/14/2024 |
| 1.7.1 | 20 | 02/14/2024 |
| 1.7.0 | 16 | 02/14/2024 |
| 1.6.2 | 19 | 02/14/2024 |
| 1.6.1 | 17 | 02/14/2024 |
| 1.6.0 | 15 | 02/14/2024 |
| 1.5.2 | 20 | 02/14/2024 |
| 1.5.1 | 17 | 02/14/2024 |
| 1.5.0 | 21 | 02/14/2024 |
| 1.4.0 | 17 | 02/14/2024 |
| 1.3.7 | 21 | 02/14/2024 |
| 1.3.6 | 17 | 02/14/2024 |
| 1.3.5 | 39 | 02/14/2024 |
| 1.3.4 | 21 | 02/14/2024 |
| 1.3.3 | 17 | 02/14/2024 |
| 1.3.2 | 16 | 02/14/2024 |
| 1.3.1 | 18 | 02/14/2024 |
| 1.3.0 | 17 | 02/14/2024 |
| 1.2.23 | 15 | 02/14/2024 |
| 1.2.22 | 21 | 02/14/2024 |
| 1.2.21 | 18 | 02/14/2024 |
| 1.2.20 | 19 | 02/14/2024 |
| 1.2.19 | 18 | 02/14/2024 |
| 1.2.18 | 19 | 02/14/2024 |
| 1.2.17 | 21 | 02/14/2024 |
| 1.2.16 | 20 | 02/14/2024 |
| 1.2.15 | 17 | 02/14/2024 |
| 1.2.14 | 20 | 02/14/2024 |
| 1.2.13 | 18 | 02/14/2024 |
| 1.2.12 | 18 | 02/14/2024 |
| 1.2.11 | 19 | 02/14/2024 |
| 1.2.10 | 18 | 02/14/2024 |
| 1.2.9 | 20 | 02/14/2024 |
| 1.2.8 | 18 | 02/14/2024 |
| 1.2.7 | 22 | 02/14/2024 |
| 1.2.6 | 18 | 02/14/2024 |
| 1.2.5 | 39 | 02/14/2024 |
| 1.2.4 | 20 | 02/14/2024 |
| 1.2.3 | 22 | 02/14/2024 |
| 1.2.2 | 19 | 02/14/2024 |
| 1.2.1 | 20 | 02/14/2024 |
| 1.2.0 | 16 | 02/14/2024 |
| 1.0.19 | 16 | 02/14/2024 |
| 1.0.18 | 19 | 02/14/2024 |
| 1.0.17 | 20 | 02/14/2024 |
| 1.0.16 | 18 | 02/14/2024 |
| 1.0.15 | 20 | 02/14/2024 |
| 1.0.14 | 18 | 02/14/2024 |
| 1.0.13 | 15 | 02/14/2024 |
| 1.0.12 | 18 | 02/14/2024 |
| 1.0.11 | 16 | 02/14/2024 |
| 1.0.10 | 17 | 02/14/2024 |
| 1.0.9 | 18 | 02/14/2024 |
| 1.0.8 | 17 | 02/14/2024 |
| 1.0.7 | 17 | 02/14/2024 |
| 1.0.6 | 36 | 02/14/2024 |
| 1.0.5 | 22 | 02/14/2024 |
| 1.0.4 | 17 | 02/14/2024 |
| 1.0.3 | 18 | 02/14/2024 |
| 1.0.2 | 17 | 02/14/2024 |
| 1.0.1 | 17 | 02/14/2024 |
| 1.0.0 | 19 | 02/14/2024 |
| 0.9.11 | 18 | 02/14/2024 |
| 0.9.10 | 18 | 02/14/2024 |
| 0.9.9 | 15 | 02/14/2024 |
| 0.9.8 | 17 | 02/14/2024 |
| 0.9.7 | 20 | 02/14/2024 |
| 0.9.6 | 18 | 02/14/2024 |
| 0.9.5.1-alpha | 23 | 02/11/2024 |
| 0.9.5-alpha | 17 | 02/14/2024 |
| 0.9.4-alpha | 21 | 02/14/2024 |
| 0.8.6.2 | 25 | 02/14/2024 |
| 0.8.6.1 | 41 | 02/14/2024 |
| 0.8.6 | 19 | 02/14/2024 |
| 0.8.5.3 | 21 | 02/14/2024 |
| 0.8.5.2 | 18 | 02/14/2024 |
| 0.8.5.1 | 19 | 02/14/2024 |
| 0.8.5 | 36 | 02/14/2024 |
| 0.8.4.2 | 18 | 02/14/2024 |
| 0.8.4.1 | 20 | 02/14/2024 |
| 0.8.4 | 36 | 02/14/2024 |
| 0.8.3 | 15 | 02/14/2024 |
| 0.8.2 | 16 | 02/14/2024 |
| 0.8.1 | 19 | 02/14/2024 |
| 0.8.0 | 20 | 02/14/2024 |
| 0.7.2 | 21 | 02/14/2024 |
| 0.7.1 | 18 | 02/14/2024 |
| 0.7.0 | 20 | 02/14/2024 |
| 0.6.2 | 19 | 02/14/2024 |
| 0.6.1 | 36 | 02/14/2024 |
| 0.6.0 | 20 | 02/14/2024 |