FsPickler 0.7.2

* Based on the notion of pickler combinators. * Provides an automated, strongly typed, pickler generation framework. * Full support for .NET types, including classes and open hierarchies. * Compatible with all serializable types, including the ISerializable interface. * Highly optimized for F# core types. * Performance about 5-20x faster than the default .NET serializers. * Full support for the mono framework. Provided "as is" with no express or implied warranty. For more information, see https://github.com/eiriktsarpalis/FsPickler

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.
22
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.
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.
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.
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

* C# friendly API * Bug fixes

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 17 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 19 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 18 02/14/2024
1.5.0 21 02/14/2024
1.4.0 18 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 19 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 19 02/14/2024
1.2.9 20 02/14/2024
1.2.8 18 02/14/2024
1.2.7 23 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 20 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 20 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 19 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 21 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 20 02/14/2024
0.8.0 20 02/14/2024
0.7.2 21 02/14/2024
0.7.1 19 02/14/2024
0.7.0 20 02/14/2024
0.6.2 19 02/14/2024
0.6.1 37 02/14/2024
0.6.0 20 02/14/2024