---
id: tensorboard-plugin-wit
version: "1.8.1"
license: Apache 2.0
license_treatment: permissive
maintenance: abandoned
---

# tensorboard-plugin-wit — What-If Tool TensorBoard plugin.

License: permissive · Maintenance: abandoned · Downloads: 2.1M/mo

## What it is and what it does

tensorboard-plugin-wit is a TensorBoard plugin that integrates the What-If Tool, an interactive visual interface for probing and understanding ML model predictions. It was originally part of the TensorBoard repository but was extracted into its own package and repository. The plugin adds no runtime dependencies and installs with low friction as a pure Python wheel.

The package is now abandoned—its last release was 2022-01-05. It remains a transitive dependency of the main tensorboard package, which means it is still distributed and installed when users install TensorBoard, but it receives no direct maintenance or updates. Users relying on the What-If Tool should verify that the plugin remains compatible with their TensorBoard version, as no fixes or enhancements are expected from this package itself.

Use it for:

- Explore counterfactual predictions by interactively modifying input features in TensorBoard.
- Visualize how model outputs change across different input ranges and feature combinations.
- Debug model behavior and identify potential biases or unexpected decision boundaries.
- Communicate model behavior to non-technical stakeholders through an interactive interface.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Adds the What-If Tool, an interactive visual interface for exploring and understanding ML model behavior, as a plugin to TensorBoard.

Yes, if you are already using TensorBoard—it will be installed as a dependency. However, do not rely on this package for new features or bug fixes; it is abandoned and has not been updated since 2022-01-05. Verify compatibility with your TensorBoard version before depending on the What-If Tool for critical workflows.

## Install

pip install tensorboard-plugin-wit
uv add tensorboard-plugin-wit
poetry add tensorboard-plugin-wit

## Installing tensorboard-plugin-wit

Before you install: Low install friction with no runtime dependencies. The package is abandoned—last release was 2022-01-05. It remains a dependency of the main tensorboard package, so it is still distributed, but direct updates are unlikely.

License in practice: Licensed under Apache 2.0 (permissive), which allows broad use, modification, and distribution with minimal restrictions. No license friction for most use cases.

Quickstart:

pip install tensorboard-plugin-wit

# Typically installed as a dependency of tensorboard; no direct import needed.
# Access via TensorBoard UI when tensorboard is launched.

Requires TensorBoard to be installed and running; the plugin does not function standalone.

Verify before relying:

- Whether the What-If Tool UI remains fully functional with current TensorBoard versions despite abandonment since 2022-01-05.
- Whether any breaking changes in TensorBoard have affected plugin compatibility.
- Current state of the upstream repository at https://github.com/pair-code/what-if-tool.

## Package facts

- License: Apache 2.0 (permissive)
- Python support: unspecified
- Install friction: low
- Maintenance: abandoned
- Downloads: 2.1M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

tensorboard plugin ml model visualization, what-if tool interactive model probing, ml model interpretability exploration, tensorboard model understanding, interactive ml model debugging, tensorboard-plugin, model-interpretability, abandoned

[View on SkillFed](https://skillfed.io/packages/tensorboard-plugin-wit) · [View on PyPI](https://pypi.org/project/tensorboard-plugin-wit/)