https://github.com/aiidateam/disk-objectstore

An implementation of an efficient "object store" (actually, a key-value store) writing files on disk and not requiring a running server

https://github.com/aiidateam/disk-objectstore

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    1 of 9 committers (11.1%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (14.7%) to scientific vocabulary

Keywords from Contributors

aiida materials-science dft rabbitmq click pallets ab-initio computational-materials-science condensed-matter-physics electronic-structure
Last synced: 10 months ago · JSON representation

Repository

An implementation of an efficient "object store" (actually, a key-value store) writing files on disk and not requiring a running server

Basic Info
Statistics
  • Stars: 16
  • Watchers: 3
  • Forks: 12
  • Open Issues: 16
  • Releases: 4
Created over 6 years ago · Last pushed 11 months ago
Metadata Files
Readme Changelog License

README.md

disk-objectstore

An implementation of an efficient key-value store that writes directly on disk and does not require a server running.

| | | | -------------- | -------------------------------------------------------------------------------------------- | | Latest release | PyPI version PyPI pyversions | | Build status | Build Status Coverage Status | | Getting help | Docs status | | Performance | Benchmarks |

Goal

The goal of this project is to have a very efficient implementation of an "object store" that works directly on a disk folder, does not require a server to run, and addresses a number of performance issues, discussed also below.

This project targets objects that range from very few bytes up to tens of GB each, with performance tuned to support tens of millions of objects or more.

This project originated from the requirements needed by an efficient repository implementation in AiiDA (note, however, that this package is completely independent of AiiDA).

How to install

To install, just run:

pip install disk-objectstore

This will also install a simple dostore command line utility together with the library itself.

Documentation

For instructions on how to use it, some quick start guide, and more detailed information on the design of the library and its performance, you can check the documentation.

Owner

  • Name: AiiDA team
  • Login: aiidateam
  • Kind: organization

The development team of AiiDA

GitHub Events

Total
  • Create event: 12
  • Commit comment event: 2
  • Issues event: 2
  • Watch event: 1
  • Delete event: 12
  • Issue comment event: 26
  • Push event: 136
  • Pull request review event: 28
  • Pull request review comment event: 14
  • Pull request event: 17
  • Fork event: 3
Last Year
  • Create event: 12
  • Commit comment event: 2
  • Issues event: 2
  • Watch event: 1
  • Delete event: 12
  • Issue comment event: 26
  • Push event: 136
  • Pull request review event: 28
  • Pull request review comment event: 14
  • Pull request event: 17
  • Fork event: 3

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 244
  • Total Committers: 9
  • Avg Commits per committer: 27.111
  • Development Distribution Score (DDS): 0.213
Past Year
  • Commits: 20
  • Committers: 2
  • Avg Commits per committer: 10.0
  • Development Distribution Score (DDS): 0.2
Top Committers
Name Email Commits
Giovanni Pizzi g****i@e****h 192
Alexander Goscinski a****i@p****e 16
Sebastiaan Huber m****l@s****t 12
Chris Sewell c****l@h****m 10
pre-commit-ci[bot] 6****] 5
Ali Khosravi k****i@g****m 4
Kristjan Eimre e****k 3
Francisco Ramirez r****f 1
Bonan Zhu z****n@o****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 61
  • Total pull requests: 104
  • Average time to close issues: 10 months
  • Average time to close pull requests: 30 days
  • Total issue authors: 7
  • Total pull request authors: 11
  • Average comments per issue: 2.62
  • Average comments per pull request: 2.18
  • Merged pull requests: 78
  • Bot issues: 0
  • Bot pull requests: 15
Past Year
  • Issues: 2
  • Pull requests: 25
  • Average time to close issues: N/A
  • Average time to close pull requests: 15 days
  • Issue authors: 1
  • Pull request authors: 3
  • Average comments per issue: 0.0
  • Average comments per pull request: 1.64
  • Merged pull requests: 20
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • giovannipizzi (48)
  • sphuber (5)
  • dev-zero (2)
  • unkcpz (2)
  • zhubonan (2)
  • edan-bainglass (1)
  • chrisjsewell (1)
Pull Request Authors
  • giovannipizzi (29)
  • agoscinski (22)
  • pre-commit-ci[bot] (13)
  • chrisjsewell (10)
  • sphuber (9)
  • khsrali (8)
  • zhubonan (5)
  • eimrek (5)
  • ahkole (2)
  • ramirezfranciscof (1)
  • dependabot[bot] (1)
Top Labels
Issue Labels
enhancement (1) wontfix (1) bug (1)
Pull Request Labels
dependencies (1)

Dependencies

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  • importlib-metadata ==4.7.1
  • iniconfig ==1.1.1
  • memory-profiler ==0.58.0
  • nodeenv ==1.6.0
  • packaging ==21.0
  • platformdirs ==2.2.0
  • pluggy ==0.13.1
  • pre-commit ==2.14.0
  • profilehooks ==1.12.0
  • psutil ==5.8.0
  • py ==1.10.0
  • py-cpuinfo ==8.0.0
  • pyparsing ==2.4.7
  • pytest ==6.2.4
  • pytest-benchmark ==3.4.1
  • pytest-cov ==2.12.1
  • pywin32 ==228
  • pyyaml ==5.4.1
  • six ==1.16.0
  • sqlalchemy ==1.4.23
  • toml ==0.10.2
  • typing-extensions ==3.10.0.0
  • virtualenv ==20.7.2
  • zipp ==3.5.0
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