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Open Sustainable Technology

A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.

TECA

The Toolkit for Extreme Climate Analysis, contains a collection of climate anlysis algorithms targetted at extreme event detection and analysis.
https://github.com/LBL-EESA/TECA

Category: Climate Change
Sub Category: Natural Hazard and Storm

Last synced: about 3 hours ago
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Repository metadata

TECA, theToolkit for Extreme Climate Analysis, contains a collection of climate anlysis algorithms targetted at extreme event detection and analysis.

README.md

The Toolkit for Extreme Climate Analysis

TECA is a collection of climate analysis algorithms geared toward extreme event detection and tracking implemented in a scalable parallel framework. The code has been successfully deployed and run at massive scales on current DOE supercomputers. TECA's core is written in modern C++ and exploits MPI + X parallelism where X is one of threads, OpenMP, or GPUs. The framework supports a number of parallel design patterns including distributed data parallelism and map-reduce. While modern C++ delivers the highest performance, Python bindings make the code approachable and easy to use.

Documentation

The TECA User's Guide is the authorotative source for documentation on topics such as installing TECA, running TECA's command line applications, and Python development. The TECA source code is documented on our Doxygen site.

Tutorials

The TECA tutorials subversion repository contains slides from previous tutorials.

Examples

The TECA examples repository contains batch scripts and codes illustrating the use of TECA at scale.

Python

The TECA Python package is available on PyPi or by installing from sources. For more information see the TECA User's Guide sections on installing TECA and Python development.

CI and Testing

For the latest regression suite results see the TECA CDash project site.

Copyright Notice

TECA, Copyright (c) 2015, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved.

If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Innovation & Partnerships Office at [email protected].

NOTICE. This software is owned by the U.S. Department of Energy. As such, the U.S. Government has been granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the Software to reproduce, prepare derivative works, and perform publicly and display publicly. Beginning five (5) years after the date permission to assert copyright is obtained from the U.S. Department of Energy, and subject to any subsequent five (5) year renewals, the U.S. Government is granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the Software to reproduce, prepare derivative works, distribute copies to the public, perform publicly and display publicly, and to permit others to do so.

Owner metadata

GitHub Events

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Last Year

Committers metadata

Last synced: 5 days ago

Total Commits: 1,858
Total Committers: 9
Avg Commits per committer: 206.444
Development Distribution Score (DDS): 0.094

Commits in past year: 17
Committers in past year: 2
Avg Commits per committer in past year: 8.5
Development Distribution Score (DDS) in past year: 0.353

Name Email Commits
Burlen Loring b****g@l****v 1684
elbashandy a****y@g****m 69
Travis A. O'Brien o****a@i****u 41
Amanda S. Dufek a****k@g****m 34
Jeffrey Johnson j****n@l****v 12
Kitware Robot k****t@k****m 11
Harinarayan Krishnan h****n@l****v 5
noel n****n@l****v 1
Jeffrey Johnson j****t@g****m 1

Committer domains:

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 427
Total pull requests: 377
Average time to close issues: 8 months
Average time to close pull requests: about 1 month
Total issue authors: 10
Total pull request authors: 7
Average comments per issue: 1.75
Average comments per pull request: 1.77
Merged pull request: 310
Bot issues: 0
Bot pull requests: 0

Past year issues: 2
Past year pull requests: 8
Past year average time to close issues: N/A
Past year average time to close pull requests: 19 days
Past year issue authors: 1
Past year pull request authors: 3
Past year average comments per issue: 2.0
Past year average comments per pull request: 0.5
Past year merged pull request: 2
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/LBL-EESA/TECA

Top Issue Authors

  • burlen (304)
  • taobrienlbl (94)
  • elbashandy (13)
  • jeff-cohere (5)
  • bedassa (4)
  • venugopalrt (3)
  • dchandan (1)
  • Steve-JJ (1)
  • Hwenshuo (1)
  • lpassarella (1)

Top Pull Request Authors

  • burlen (272)
  • elbashandy (51)
  • taobrienlbl (26)
  • amandasd (11)
  • jeff-cohere (10)
  • ghweber (4)
  • HarinarayanKrishnan (3)

Top Issue Labels

  • 2_medium_priority (141)
  • feature (69)
  • 1_high_priority (58)
  • 3_low_priority (56)
  • bug (53)
  • documentation (40)
  • testing (38)
  • I/O (28)
  • python (19)
  • temporal reductions (8)
  • deployment (6)
  • build (6)
  • data model (5)
  • GPUization (4)
  • good first issue (4)
  • duplicate (4)
  • wontfix (3)
  • discussion (3)
  • user engagement (2)
  • TECA_superbuild (2)
  • run (1)

Top Pull Request Labels

  • feature (25)
  • bug (15)
  • testing (7)
  • documentation (3)
  • 1_high_priority (2)
  • 2_medium_priority (1)

Package metadata

pypi.org: teca

The Toolkit for Extreme Climate Analysis

  • Homepage: https://github.com/LBL-EESA/TECA
  • Documentation: https://teca.readthedocs.io/
  • Licenses: Other/Proprietary License
  • Latest release: 6.0.0 (published over 1 year ago)
  • Last Synced: 2025-04-26T13:35:33.649Z (1 day ago)
  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 203 Last month
  • Rankings:
    • Dependent packages count: 7.31%
    • Forks count: 8.272%
    • Stargazers count: 9.272%
    • Average: 19.909%
    • Dependent repos count: 22.088%
    • Downloads: 52.605%
  • Maintainers (2)

Dependencies

doc/rtd/requirements.txt pypi
  • breathe *
  • sphinx <7
  • sphinxcontrib-bibtex *
setup.py pypi
  • mpi4py *
docker/teca_cpu_debug/Dockerfile docker
  • obrientaiu/teca_prereqs cpu build
docker/teca_gpu_debug/Dockerfile docker
  • obrientaiu/teca_prereqs gpu build
docker/teca_prereqs_cpu/Dockerfile docker
  • ubuntu 24.04 build
docker/teca_prereqs_gpu/Dockerfile docker
  • obrientaiu/teca_prereqs cpu build

Score: 12.993160887260933