Skip to main content

FitBenchmarking: A tool for comparing fitting software

Project description

Build Status Tests Status Documentation Status Coverage Status Windows Supported Ubuntu Supported Chat

FitBenchmarking

FitBenchmarking is an open source tool for comparing different minimizers/fitting frameworks. FitBenchmarking is cross platform and we support Windows, Linux and Mac OS. For questions, feature requests or any other inquiries, please open an issue on GitHub, or send us an e-mail at support@fitbenchmarking.com.

The package is the result of a collaboration between STFC’s Scientific Computing Department and ISIS Neutron and Muon Facility and the Diamond Light Source. We also would like to acknowledge support from:

  • EU SINE2020 WP-10, which received funding from the European Union’s Horizon2020 research and innovation programme under grant agreement No 654000.
  • EPSRC Grant EP/M025179/1 Least Squares: Fit for the Future.
  • The Ada Lovelace Centre (ALC). ALC is an integrated, cross-disciplinary data intensive science centre, for better exploitation of research carried out at our large scale National Facilities including the Diamond Light Source (DLS), the ISIS Neutron and Muon Facility, the Central Laser Facility (CLF) and the Culham Centre for Fusion Energy (CCFE).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

FitBenchmarking-0.1.0rc4.tar.gz (9.0 MB view details)

Uploaded Source

Built Distribution

FitBenchmarking-0.1.0rc4-py3-none-any.whl (6.5 MB view details)

Uploaded Python 3

File details

Details for the file FitBenchmarking-0.1.0rc4.tar.gz.

File metadata

  • Download URL: FitBenchmarking-0.1.0rc4.tar.gz
  • Upload date:
  • Size: 9.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.9.2

File hashes

Hashes for FitBenchmarking-0.1.0rc4.tar.gz
Algorithm Hash digest
SHA256 f4ace37e41b4987054b33d14d9bb51d6386b09c8d8bf7027bee6682c79ef4aff
MD5 21a9827b8c9d6aa7af670b832a8ed91c
BLAKE2b-256 fa6e3ba936b3474102a6ad2d875d7b80584e67186dffbe6feb5dd903e0e22f9c

See more details on using hashes here.

File details

Details for the file FitBenchmarking-0.1.0rc4-py3-none-any.whl.

File metadata

  • Download URL: FitBenchmarking-0.1.0rc4-py3-none-any.whl
  • Upload date:
  • Size: 6.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.9.2

File hashes

Hashes for FitBenchmarking-0.1.0rc4-py3-none-any.whl
Algorithm Hash digest
SHA256 b1a241783e9752b9fc8a5bbe40280e54ef4e5446315b49624ab1bb281f0146b3
MD5 ad1a5d5ddc04f09714da3c3d62f45498
BLAKE2b-256 86abb317e53352b9a1900288ec8b6fa718c31179764ff07ae1177c3f401654bd

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page