Changelog

May 4, 2026 · View on GitHub

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased]

[0.6.1] - 2026-05-05

Internal cleanup pass and a few small breaking removals. For older Python or older import paths, pin a previous livelossplot version.

Removed

  • The livelossplot.keras / livelossplot.tf_keras / livelossplot.poutyne / livelossplot.pytorch_ignite import shortcuts (deprecated since 0.5.0). Use livelossplot.inputs.* or from livelossplot import PlotLossesKeras etc.
  • PlotLosses.draw() (deprecated since 0.5.0). Use .send().

Changed

  • ExtremaPrinter parameter massage_template renamed to message_template.
  • Plot2d parameter valiation_data renamed to validation_data.

Fixed

  • Mutable default arguments in PlotLosses(outputs=...) and MatplotlibPlot(extra_plots=...).
  • MainLogger.groups = None now correctly resets to {}.
  • ipython declared as a runtime dependency.

[0.6.0] - 2026-05-04

Changed

  • Minimum Python is now 3.10.

Removed

  • Neptune.AI integration — Neptune is no longer maintained.

Fixed

  • BokehPlot now works in Google Colab (issue #109).
  • Plot2d works again as a PlotLosses output (issue #137).
  • MatplotlibPlot no longer errors when max_cols=1 (PR #147).
  • Groups whose metrics start at different steps now plot correctly (PR #149).

[0.5.6] - 2025-01-03

Fixed

  • MatplotlibPlot now works in script mode - a long awaited feature!
  • GitHub Actions using current Python versions.

Added

  • PlotLosses(figsize=(10, 10)) to set the size of the figure due to popular demand.
  • Script vs notebook mode detection.

[0.5.5] - 2022-04-03

Fixed

  • Support for Python 3.7 (see this PR)

Added

  • Support for Python 3.10 (see this PR)

[0.5.4] - 2021-02-03

Added

  • from_step option to display epochs from a given one (e.g. from_step=2) or only last epochs (e.g. from_step=-10), see this request.
  • Tests for Python 3.9.

Dropped

  • Support for Python 3.5.

[0.5.3] - 2020-07-24

Added

  • API to add outputs with strings PlotLosses(outputs=['MatplotlibPlot', 'TensorboardLogger']), in case of default parameters.
  • API to add outputs with chaining PlotLosses(outputs=[]).to_matplotlib(**kwargs1).to_tensorboard(**kwargs2).
  • README in pdoc3 documentation.

Fixed

  • An error introduced in 0.5.2 with empty subplots (i.e. if the total number of subplots is not divisible the number of columns).

Changed

  • MatplotlibPlot._default_after_plots contains plt.show() andfig.savefig(...), so that display and save options can be altered with MatplotlibPlot(after_plots=....).

[0.5.2] - 2020-07-19

Added

  • Auto-generated documentation with pdoc3: http://p.migdal.pl/livelossplot/.
  • Option to generate custom matplotlib plot options (e.g. log scale, no legend, etc) with MatplotlibPlot(after_subplot=...) and general for display MatplotlibPlot(after_subplot=..., after_plots=....).

Changed

[0.5.1] - 2020-05-28

Added

  • Bokeh colors, scaling, and hover tooltip (see this PR for screenshots).
  • Tests for Neptune, better tests in general.
  • Nice Issue templates.

Fixed

  • Bokeh example.
  • Made it working in general.

[0.5.0] - 2020-03-20

It is a major rewrite, with breaking API changes. It requires Python 3.5+, and ideally 3.6+.

Work in progress - expect fixes and additions in 0.5.*.

Added

  • Docstrings.
  • Tests (using pytest).
  • Continuous integration (using GitHub Actions).
  • Type hints, mostly for better development and more explicit documentation.
  • Way to write new output plugins (see outputs directory).
  • Examples are readily runnable on Colab.
  • A more general way generate groups for plots based on Regex patterns.
  • Bokeh plot - an initial version.

Refactored

  • A major refactor of the whole structure.
  • PlotLosses is no longer a god object.
  • Organized input plugins in the inputs directory.

Fixed

  • Updated neptune and tensorboard plugins to support current APIs of the respective libraries.

Removed

  • Python 2.7 support.
  • Python 3.4 support - due to type hints.
  • Python 3.5 support priority. Right it installs an older version of matplotlib, 3.0 (the last working with Python 3.5). The current version of matplotlib is 3.2, see https://matplotlib.org/3.2.0/users/installing.html. Support for Python 3.5 for livelossplot may be dropped at any moment.

[0.4.2] - 2020-03-06

Added

  • PyTorch Ignite plugin and example.
  • GitHub sponsor option.

Fixed

  • Tensorboard path for Windows.
  • Changed PyToune to Poutyne to reflect the API name change of the respective library.

[0.4.1] - 2019-05-26

Added

  • Custom matplotlib subplots.
  • 2d plot prediction.

[0.4.0] - 2019-05-06

For now, it is prehistory.