safecopy alternatives and similar packages
Based on the "Data" category.
Alternatively, view safecopy alternatives based on common mentions on social networks and blogs.
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semantic-source
Parsing, analyzing, and comparing source code across many languages -
lens
Lenses, Folds, and Traversals - Join us on web.libera.chat #haskell-lens -
code-builder
Packages for defining APIs, running them, generating client code and documentation. -
text
Haskell library for space- and time-efficient operations over Unicode text. -
cassava
A CSV parsing and encoding library optimized for ease of use and high performance -
compendium-client
Mu (μ) is a purely functional framework for building micro services. -
unordered-containers
Efficient hashing-based container types -
holmes
A reference library for constraint-solving with propagators and CDCL. -
resource-pool
A high-performance striped resource pooling implementation for Haskell -
binary
Efficient, pure binary serialisation using ByteStrings in Haskell. -
primitive
This package provides various primitive memory-related operations. -
discrimination
Fast linear time sorting and discrimination for a large class of data types -
IORefCAS
A collection of different packages for CAS based data structures. -
dependent-sum
Dependent sums and supporting typeclasses for comparing and displaying them -
dependent-map
Dependently-typed finite maps (partial dependent products) -
scientific
Arbitrary-precision floating-point numbers represented using scientific notation -
orgmode-parse
Attoparsec parser combinators for parsing org-mode structured text! -
reflection
Reifies arbitrary Haskell terms into types that can be reflected back into terms -
streaming
An optimized general monad transformer for streaming applications, with a simple prelude of functions -
uuid-types
A Haskell library for creating, printing and parsing UUIDs
InfluxDB - Power Real-Time Data Analytics at Scale
Do you think we are missing an alternative of safecopy or a related project?
README
SafeCopy
SafeCopy extends the parsing and serialization capabilities of
Data.Serialize
to include nested
version control. Nested version control means that you can change the
definition and binary format of a type nested deep within other types without
problems.
*Note that all licence references and agreements mentioned in the safecopy README section above
are relevant to that project's source code only.