tesseract-core 1.4.0
A toolkit for universal, autodiff-native software components.
License: Apache-2.0
Requires Python: <3.14,>=3.10

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### Tesseract Core

Universal, autodiff-native software components for Simulation Intelligence. :package:

[Read the docs](https://docs.pasteurlabs.ai/projects/tesseract-core/latest/) |
[Report an issue](https://github.com/pasteurlabs/tesseract-core/issues) |
[Talk to the community](https://si-tesseract.discourse.group/) |
[Contribute](https://github.com/pasteurlabs/tesseract-core/blob/main/CONTRIBUTING.md)

---

[![DOI](https://joss.theoj.org/papers/10.21105/joss.08385/status.svg)](https://doi.org/10.21105/joss.08385)

**Tesseract Core** bundles:

1. Tools to define, create, and run Tesseracts, via the `tesseract` CLI and `tesseract_core` Python API.
2. The Tesseract Runtime, a lightweight, high-performance execution environment for Tesseracts.

## What is a Tesseract?

Tesseracts are components that expose experimental, research-grade software to the world. They are self-contained, self-documenting, and self-executing, via command line and HTTP. They are designed to be easy to create, easy to use, and easy to share, including in a production environment. This repository contains all you need to define your own and execute them.

Tesseracts provide built-in support for [differentiable programming](https://docs.pasteurlabs.ai/projects/tesseract-core/latest/content/introduction/differentiable-programming.html) by propagating gradient information at the level of individual components, making it easy to build complex, diverse software pipelines that can be optimized end-to-end.

## Quick start

> [!NOTE]
> Before proceeding, make sure you have a [working installation of Docker](https://docs.docker.com/engine/install/) and a modern Python installation (Python 3.10+); if you prefer Docker Desktop for your platform, see [our extended installation instructions](https://docs.pasteurlabs.ai/projects/tesseract-core/latest/content/introduction/installation.html#basic-installation).

1. Install Tesseract Core:

   ```bash
   $ pip install tesseract-core
   ```

2. Build an example Tesseract:

   ```bash
   $ git clone https://github.com/pasteurlabs/tesseract-core
   $ tesseract build tesseract-core/examples/vectoradd
   ```

3. Display its API documentation:

   ```bash
   $ tesseract apidoc vectoradd
   ```

<p align="center">
<img src="https://github.com/pasteurlabs/tesseract-core/blob/main/docs/img/apidoc-screenshot.png" width="600">
</p>

4. Run the Tesseract:

   ```bash
   $ tesseract run vectoradd apply '{"inputs": {"a": [1], "b": [2]}}'
   {"result":{"object_type":"array","shape":[1],"dtype":"float64","data":{"buffer":[3.0],"encoding":"json"}}}⏎
   ```

> [!TIP]
> Now you're ready to dive into the [documentation](https://docs.pasteurlabs.ai/projects/tesseract-core/latest/) for more information on
> [installation](https://docs.pasteurlabs.ai/projects/tesseract-core/latest/content/introduction/installation.html),
> [creating Tesseracts](https://docs.pasteurlabs.ai/projects/tesseract-core/latest/content/creating-tesseracts/create.html), and
> [invoking them](https://docs.pasteurlabs.ai/projects/tesseract-core/latest/content/using-tesseracts/use.html).

## License

Tesseract Core is licensed under the [Apache License 2.0](https://github.com/pasteurlabs/tesseract-core/blob/main/LICENSE) and is free to use, modify, and distribute (under the terms of the license).

Tesseract is a registered trademark of Pasteur Labs, Inc. and may not be used without permission.