| CARVIEW |
Select Language
HTTP/1.1 200 OK
Connection: keep-alive
Server: nginx/1.24.0 (Ubuntu)
Content-Type: text/html; charset=utf-8
Cache-Control: public, max-age=300
Content-Encoding: gzip
Via: 1.1 varnish, 1.1 varnish
Accept-Ranges: bytes
Age: 0
Date: Fri, 16 Jan 2026 21:23:22 GMT
X-Served-By: cache-dfw-kdfw8210114-DFW, cache-bom-vanm7210096-BOM
X-Cache: MISS, MISS
X-Cache-Hits: 0, 0
X-Timer: S1768598602.329357,VS0,VE377
Vary: Accept, Accept-Encoding
transfer-encoding: chunked
large-hashable: Efficiently hash (large) Haskell values
large-hashable: Efficiently hash (large) Haskell values
Modules
[Index] [Quick Jump]
Downloads
- large-hashable-0.1.2.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
Maintainer's Corner
For package maintainers and hackage trustees
Candidates
| Versions [RSS] | 0.1.0.0, 0.1.0.1, 0.1.0.2, 0.1.0.3, 0.1.0.4, 0.1.1.0, 0.1.2.0 |
|---|---|
| Change log | ChangeLog |
| Dependencies | aeson, base (>=4.8 && <5), base16-bytestring, bytes, bytestring, containers, crypton, memory, scientific, strict, template-haskell, text, time, transformers, unordered-containers, vector, void [details] |
| License | BSD-3-Clause |
| Copyright | 2015 - 2017 factis research GmbH, 2018 - 2023 medilyse GmbH, 2024 - 2025 MEQO GmbH |
| Author | Stefan Wehr, Lukas Epple |
| Maintainer | Stefan Wehr |
| Uploaded | by StefanWehr at 2025-01-13T14:58:54Z |
| Category | Web |
| Home page | https://github.com/factisresearch/large-hashable |
| Source repo | head: git clone https://github.com/factisresearch/large-hashable |
| Distributions | LTSHaskell:0.1.2.0, NixOS:0.1.2.0, Stackage:0.1.2.0 |
| Reverse Dependencies | 1 direct, 0 indirect [details] |
| Downloads | 3794 total (33 in the last 30 days) |
| Rating | 2.0 (votes: 1) [estimated by Bayesian average] |
| Your Rating |
|
| Status | Docs available [build log] Last success reported on 2025-01-13 [all 1 reports] |
Readme for large-hashable-0.1.2.0
[back to package description]LargeHashable
Efficiently hash Haskell values with MD5, SHA256, SHA512 and other hashing algorithms.
Install
- Using cabal:
cabal install large-hashable - Using Stack:
stack install large-hashable
Building from git repository
- clone the repository
- Install the stack tool (https://haskellstack.org)
stack buildbuilds the codestack testbuilds the code and runs the testsrun-benchmarks.shruns the benchmark suite