"Art is never finished, only abandoned.” – Leonardo da Vinci
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<img src="/icons/alien-pixel_green.svg" alt="/icons/alien-pixel_green.svg" width="40px" />
How can I download Kalix?
- Popular versions of Kalix are available on this page, along with release notes and documentation snapshots.
- The Kalix desktop binaries are also available directly from github for ⊞Windows, 🐧 Linux and MacOS. The release page is here.
- The Kalix python package is now on pypi and can be installed directly via
pip install kalix.
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Kalix version 0.2.6
Release date: 2026-06-02.
- Routing node now supports “Nonlinear Muskingum” (nlm) model.
- Linting performance improvements
- Custom line style extended to envelope drawing mode used when data density is too high. Line styles are now visible on exceedance plot after this change.
| Resource |
Notes |
Windows |
| Kalix CLI binary |
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| KalixIDE portable application |
Standalone application with dependencies |
‣ |
| Kalix python package |
https://pypi.org/project/kalix/ |
pip install kalix |
| User Guide |
HTML |
not captured this version |
Kalix version 0.2.5
Release date: 2026-05-29.
Run manager and optimisation:
- Custom colour palettes (color and style) in the plotting tool. Custom palettes are automatically saved in your preferences file. Association between data and line can be chosen by user, and consistency is maintained across tabs.
- Performance and reliability: Stats tab performance improved by better mask design, and shared prep work across stats. Revised approach to series tracking under the hood, eliminating minor bugs related to series selection.
- Changed optimisation UX so that multiple new configs may be prepared simultaneously before starting the runs. Cleaned up optimisation result presentation.
- Table View (ctrl+t) is now available for “rain” property, making it easier to copy rainfall weighting coefficients from model to report.
- Loss node was previously saving “table” property back out after optimisation finished even if it was not supplied in the original model. Fixed now.
New Python API!
- Kalix can now be installed as a python package
pip install kalix directly from pypi. The package currently supports:
- loading and running models
- reading and writing Pixie compressed timeseries datasets