FsPickler 1.0.6

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
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
23
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
24
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
26
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
37
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
42
PommaLabs.KVLite
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains caching interfaces, data models and core implementations.
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.
146
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.
244
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.
28
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
29
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.
39
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
69
PommaLabs.KVLite.Core
KVLite is a partition-based key-value cache built for SQL RDBMSs. This package contains core implementations and base classes.
141

Change caching semantics for Custom equality DUs. Improve error messages in subtypes of nonserializable types. Add Pickle<T> type annotated binary serializations.

This package has no dependencies.

Version Downloads Last updated
5.3.2 1,214 06/25/2020
5.3.1 17 02/14/2024
5.3.0 18 02/14/2024
5.2.2 89 07/04/2020
5.2.1 17 02/14/2024
5.2.0 21 07/04/2020
5.1.0 17 02/14/2024
5.0.0 18 02/14/2024
4.6.0 19 02/14/2024
4.5.0 20 02/14/2024
4.4.0 20 02/14/2024
4.0.1 21 02/14/2024
4.0.0 20 02/14/2024
3.4.0 18 02/14/2024
3.3.0 20 02/14/2024
3.2.0 17 02/14/2024
3.1.0 16 02/14/2024
3.0.0 17 02/14/2024
2.4.0 21 02/14/2024
2.3.0 18 02/14/2024
2.2.0 19 02/14/2024
2.1.0 19 02/14/2024
2.0.0 15 02/14/2024
1.8.1 21 02/14/2024
1.8.0 19 02/14/2024
1.7.2 21 02/14/2024
1.7.1 20 02/14/2024
1.7.0 17 02/14/2024
1.6.2 21 02/14/2024
1.6.1 17 02/14/2024
1.6.0 16 02/14/2024
1.5.2 20 02/14/2024
1.5.1 18 02/14/2024
1.5.0 23 02/14/2024
1.4.0 18 02/14/2024
1.3.7 21 02/14/2024
1.3.6 18 02/14/2024
1.3.5 39 02/14/2024
1.3.4 22 02/14/2024
1.3.3 17 02/14/2024
1.3.2 16 02/14/2024
1.3.1 19 02/14/2024
1.3.0 18 02/14/2024
1.2.23 15 02/14/2024
1.2.22 22 02/14/2024
1.2.21 18 02/14/2024
1.2.20 20 02/14/2024
1.2.19 19 02/14/2024
1.2.18 20 02/14/2024
1.2.17 22 02/14/2024
1.2.16 21 02/14/2024
1.2.15 19 02/14/2024
1.2.14 20 02/14/2024
1.2.13 19 02/14/2024
1.2.12 20 02/14/2024
1.2.11 20 02/14/2024
1.2.10 19 02/14/2024
1.2.9 21 02/14/2024
1.2.8 19 02/14/2024
1.2.7 23 02/14/2024
1.2.6 19 02/14/2024
1.2.5 40 02/14/2024
1.2.4 20 02/14/2024
1.2.3 23 02/14/2024
1.2.2 20 02/14/2024
1.2.1 20 02/14/2024
1.2.0 17 02/14/2024
1.0.19 18 02/14/2024
1.0.18 20 02/14/2024
1.0.17 21 02/14/2024
1.0.16 20 02/14/2024
1.0.15 20 02/14/2024
1.0.14 19 02/14/2024
1.0.13 16 02/14/2024
1.0.12 19 02/14/2024
1.0.11 17 02/14/2024
1.0.10 18 02/14/2024
1.0.9 19 02/14/2024
1.0.8 18 02/14/2024
1.0.7 18 02/14/2024
1.0.6 36 02/14/2024
1.0.5 23 02/14/2024
1.0.4 17 02/14/2024
1.0.3 19 02/14/2024
1.0.2 17 02/14/2024
1.0.1 17 02/14/2024
1.0.0 20 02/14/2024
0.9.11 20 02/14/2024
0.9.10 19 02/14/2024
0.9.9 17 02/14/2024
0.9.8 17 02/14/2024
0.9.7 21 02/14/2024
0.9.6 19 02/14/2024
0.9.5.1-alpha 24 02/11/2024
0.9.5-alpha 17 02/14/2024
0.9.4-alpha 22 02/14/2024
0.8.6.2 26 02/14/2024
0.8.6.1 42 02/14/2024
0.8.6 20 02/14/2024
0.8.5.3 21 02/14/2024
0.8.5.2 19 02/14/2024
0.8.5.1 19 02/14/2024
0.8.5 37 02/14/2024
0.8.4.2 20 02/14/2024
0.8.4.1 21 02/14/2024
0.8.4 37 02/14/2024
0.8.3 17 02/14/2024
0.8.2 17 02/14/2024
0.8.1 20 02/14/2024
0.8.0 20 02/14/2024
0.7.2 22 02/14/2024
0.7.1 19 02/14/2024
0.7.0 21 02/14/2024
0.6.2 20 02/14/2024
0.6.1 38 02/14/2024
0.6.0 20 02/14/2024