FsPickler 5.3.2
FsPickler is a serialization library that facilitates the distribution of .NET objects.
The implementation focuses on performance and completeness in supported types, including F# types.
It supports multiple, pluggable serialization formats including Binary, Xml, JSON and BSON.
The library is based on the functional programming concept of pickler combinators which
has been adapted to accommodate the object oriented nature of the .NET 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.
|
31 |
|
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.
|
142 |
Use AssemblyLoadContext when loading assemblies.
.NET Framework 4.5
- FSharp.Core (>= 4.3.2)
.NET Standard 2.0
- FSharp.Core (>= 4.3.2)
- System.Reflection.Emit.Lightweight (>= 4.3.0)
| 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 | 22 | 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 |