Tesseract Core

Tesseract Core: Universal, autodiff-native software components for Simulation Intelligence - Published in JOSS (2025)

https://github.com/pasteurlabs/tesseract-core

Science Score: 98.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
Found 4 DOI reference(s) in README and JOSS metadata
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Academic publication links
Links to: joss.theoj.org
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Academic email domains
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Institutional organization owner
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JOSS paper metadata
Published in Journal of Open Source Software

Keywords

api-rest automatic-differentiation containers differentiable-programming remote-procedure-calls scientific-machine-learning

Last synced: 4 months ago · JSON representation ·

Repository

Universal, autodiff-native software components for Simulation Intelligence. 📦

Basic Info

Host: GitHub
Owner: pasteurlabs
License: apache-2.0
Language: Python
Default Branch: main
Homepage: https://docs.pasteurlabs.ai/projects/tesseract-core/latest/
Size: 14.4 MB

Statistics

Stars: 70
Watchers: 4
Forks: 4
Open Issues: 30
Releases: 17

Topics

api-rest automatic-differentiation containers differentiable-programming remote-procedure-calls scientific-machine-learning

Created 10 months ago · Last pushed 4 months ago

Metadata Files

Readme Changelog Contributing License Code of conduct Citation Codeowners

Tesseract Core

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

Read the docs | Report an issue | Talk to the community | Contribute

Tesseract Core bundles:

Tools to define, create, and run Tesseracts, via the tesseract CLI and tesseract_core Python API.
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 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 and a modern Python installation (Python 3.10+); if you prefer Docker Desktop for your platform, see our extended installation instructions.

Install Tesseract Core:

bash $ pip install tesseract-core

Build an example Tesseract:

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

Display its API documentation:

bash $ tesseract apidoc vectoradd

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 for more information on installation, creating Tesseracts, and invoking them.

License

Tesseract Core is licensed under the Apache License 2.0 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.

Owner

Name: Pasteur-ISI
Login: pasteurlabs
Kind: organization

Website: simulation.science
Repositories: 2
Profile: https://github.com/pasteurlabs

JOSS Publication

Tesseract Core: Universal, autodiff-native software components for Simulation Intelligence

Published

July 22, 2025

DOI

10.21105/joss.08385

Volume 10, Issue 111, Page 8385

Authors

Dion Häfner

Pasteur Labs, Brooklyn, NY, USA

Alexander Lavin

Pasteur Labs, Brooklyn, NY, USA

Editor

Chris Vernon

Citation (CITATION.cff)

cff-version: "1.2.0"
authors:
- family-names: Häfner
  given-names: Dion
  orcid: "https://orcid.org/0000-0002-4465-7317"
- family-names: Lavin
  given-names: Alexander
  orcid: "https://orcid.org/0000-0003-3422-7820"
contact:
- family-names: Häfner
  given-names: Dion
  orcid: "https://orcid.org/0000-0002-4465-7317"
doi: 10.5281/zenodo.16333901
message: If you use this software, please cite our article in the
  Journal of Open Source Software.
preferred-citation:
  authors:
  - family-names: Häfner
    given-names: Dion
    orcid: "https://orcid.org/0000-0002-4465-7317"
  - family-names: Lavin
    given-names: Alexander
    orcid: "https://orcid.org/0000-0003-3422-7820"
  date-published: 2025-07-22
  doi: 10.21105/joss.08385
  issn: 2475-9066
  issue: 111
  journal: Journal of Open Source Software
  publisher:
    name: Open Journals
  start: 8385
  title: "Tesseract Core: Universal, autodiff-native software components
    for Simulation Intelligence"
  type: article
  url: "https://joss.theoj.org/papers/10.21105/joss.08385"
  volume: 10
title: "Tesseract Core: Universal, autodiff-native software components
  for Simulation Intelligence"

GitHub Events

Total

Fork event: 3
Create event: 156
Commit comment event: 1
Issues event: 83
Release event: 8
Watch event: 66
Delete event: 145
Issue comment event: 458
Public event: 1
Push event: 958
Pull request review event: 644
Pull request review comment event: 498
Pull request event: 354

Last Year

Fork event: 3
Create event: 156
Commit comment event: 1
Issues event: 83
Release event: 8
Watch event: 66
Delete event: 145
Issue comment event: 458
Public event: 1
Push event: 958
Pull request review event: 644
Pull request review comment event: 498
Pull request event: 354

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 53
Total pull requests: 169
Average time to close issues: 28 days
Average time to close pull requests: 3 days
Total issue authors: 13
Total pull request authors: 18
Average comments per issue: 1.43
Average comments per pull request: 1.69
Merged pull requests: 109
Bot issues: 1
Bot pull requests: 32

Past Year

Issues: 53
Pull requests: 169
Average time to close issues: 28 days
Average time to close pull requests: 3 days
Issue authors: 13
Pull request authors: 18
Average comments per issue: 1.43
Average comments per pull request: 1.69
Merged pull requests: 109
Bot issues: 1
Bot pull requests: 32

View more stats

Top Authors

Issue Authors

dionhaefner (18)
jpbrodrick89 (10)
xalelax (6)
angela-ko (3)
apaleyes (3)
linusseelinger (2)
jacanchaplais (2)
andrinr (2)
johnbcoughlin (2)
heitorPB (2)
nikolasborrel (1)
github-actions[bot] (1)
nmheim (1)

Pull Request Authors

dionhaefner (51)
github-actions[bot] (20)
jpbrodrick89 (12)
dependabot[bot] (12)
xalelax (11)
angela-ko (11)
zmheiko (9)
PasteurBot (9)
johnbcoughlin (7)
nmheim (6)
heitorPB (5)
linusseelinger (4)
BoltzmannBrain (3)
llueg (3)
pavloboyko (3)

Top Labels

Issue Labels

enhancement (7) good first issue (5) question (1)

Pull Request Labels

dependencies (12) github_actions (8) python (4)

Packages

Total packages: 1
Total downloads:
- pypi 3,404 last-month

Total dependent packages: 0
Total dependent repositories: 0
Total versions: 15
Total maintainers: 2

pypi.org: tesseract-core

A toolkit for universal, autodiff-native software components.

Homepage: https://github.com/pasteurlabs/tesseract-core
Documentation: https://docs.pasteurlabs.ai/projects/tesseract-core/latest
License: Apache-2.0
Latest release: 1.0.0
published 5 months ago

Versions: 15
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 3,404 Last month

Rankings

Dependent packages count: 9.6%

Average: 31.7%

Dependent repos count: 53.9%

Maintainers (2)

dionhaefner andrei.paleyes

Last synced: 4 months ago

Dependencies

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tesseract_core/sdk/templates/docker-compose.yml docker

docs/requirements.txt pypi

autodoc_pydantic ==2.2.0
furo ==2024.8.6
myst-parser ==4.0.1
sphinx ==8.2.1
sphinx_autodoc_typehints ==3.1.0
sphinx_click ==6.0.0
sphinx_copybutton ==0.5.2
sphinx_design ==0.6.1
sphinxext_opengraph ==0.9.1

examples/helloworld/tesseract_requirements.txt pypi

examples/localpackage/package/pyproject.toml pypi

examples/localpackage/tesseract_requirements.txt pypi

examples/meshstats/tesseract_requirements.txt pypi

numpy ==1.26.0

examples/univariate/tesseract_requirements.txt pypi

jax ==0.4.28

examples/vectoradd/tesseract_requirements.txt pypi

numpy ==1.26.4

examples/vectoradd_jax/tesseract_requirements.txt pypi

jax *

pyproject.toml pypi

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requirements-dev.txt pypi

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requirements.txt pypi

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numpy ==2.2.3
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requests ==2.32.3
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typer ==0.15.1

tesseract_core/runtime/meta/pyproject.toml pypi

click >=8.1
fastapi >=0.115
fsspec [http,s3]>=2024.12
msgpack >=1.1
numpy >=1.26
pybase64 >=1.4
pydantic >=2.10
requests >=2.32
typer >=0.15
uvicorn >=0.34

tesseract_core/runtime/meta/requirements.txt pypi

click ==8.1.8
fastapi ==0.115.8
fsspec ==2025.2.0
msgpack ==1.1.0
numpy ==2.0.2
numpy ==2.2.3
pybase64 ==1.4.0
pydantic ==2.10.6
requests ==2.32.3
typer ==0.15.1
uvicorn ==0.34.0

tesseract_core/sdk/templates/base/tesseract_requirements.txt pypi

tesseract_core/sdk/templates/jax/tesseract_requirements.txt pypi

jax *

tests/dummy_tesseract/tesseract_requirements.txt pypi

numpy ==1.26.4 test

Tesseract Core

Science Score: 98.0%

Keywords

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

Tesseract Core

What is a Tesseract?

Quick start

License

Owner

JOSS Publication

Tesseract Core: Universal, autodiff-native software components for Simulation Intelligence

Authors

Editor

Tags

Citation (CITATION.cff)

GitHub Events

Total

Last Year

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

pypi.org: tesseract-core

Rankings

Maintainers (2)

Dependencies