Skip to main content

FitBenchmarking: A tool for comparing fitting software

Project description

Build 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-0.1.0rc1.tar.gz (9.0 MB view details)

Uploaded Source

Built Distribution

FitBenchmarking-0.1.0rc1-py3-none-any.whl (6.5 MB view details)

Uploaded Python 3

File details

Details for the file FitBenchmarking-0.1.0rc1.tar.gz.

File metadata

  • Download URL: FitBenchmarking-0.1.0rc1.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/3.9.1

File hashes

Hashes for FitBenchmarking-0.1.0rc1.tar.gz
Algorithm Hash digest
SHA256 18c3d80185f228005d25fc6c63f1e17ee8ab130a13557a3eec5701d184f50828
MD5 be13dc60962848ed917303cf12f61bb0
BLAKE2b-256 ac48bc31b84bc4cf80ce6a1877b9023ded0f3e4ccf4d749f7a138d75739a72f0

See more details on using hashes here.

File details

Details for the file FitBenchmarking-0.1.0rc1-py3-none-any.whl.

File metadata

  • Download URL: FitBenchmarking-0.1.0rc1-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/3.9.1

File hashes

Hashes for FitBenchmarking-0.1.0rc1-py3-none-any.whl
Algorithm Hash digest
SHA256 4a49c381f2cd82a1ea76b70b9166667df365356dc3f4ad89dd4f8176a003f159
MD5 20d3e601fdfc824cdd7628e6cfcb729c
BLAKE2b-256 703c1e457e7db7d86b750be2a21240144dc6f3d0c204e1422a496ce8d657861c

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