Latris
No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 11 Oct 2026. How this is checked
Latris is an Apache-2.0 Python workbench for AI-assisted causal modelling and evidence management. It provides a Python CLI and server backend for creating models with linked evidence, Git-based provenance, and systems-thinking workflows.
Inferred · not functionally tested
Overview
6 featuresPurpose: Building causal models while preserving evidence, provenance, and reproducibility.
Inferred · not functionally tested
Audience: systems thinkers, researchers, and data scientists
Inferred · not functionally tested
Functions: analytics, data_extraction
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI, WEB · deployment: browser, cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: latris.app · github.com. These links do not verify the individual claims.
In the Other data science & ML space, Latris takes a focused approach. Inferred · not functionally tested: It focuses on building causal models while preserving evidence, provenance, and reproducibility. Inferred · not functionally tested: It is built as an open-source project for systems thinkers, researchers, and data scientists. Basis unknown · not verified: Latris is open source under the Apache-2.0 license. Basis unknown · not verified: Latris is available on the web and the command line, and it can be self-hosted.
Shannon Bengtson builds and maintains Latris, and it first shipped in 2026. Development happens publicly on GitHub with 1 commit in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are causal modelling, bayesian modelling, and evidence linking.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Causal modelling
- Bayesian modelling
- Evidence linking
- Provenance tracking
- Git integration
- Systems thinking
Topics: Inferred · not functionally tested
Built with & integrations
- Claude Code
- CLAUDE.md
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about Latris
- What does Latris do?
- Inferred · not functionally tested: Latris focuses on building causal models while preserving evidence, provenance, and reproducibility. It is catalogued under Other data science & ML on PulseGate.
- Who is Latris for?
- Inferred · not functionally tested: Latris is an open-source project built for systems thinkers, researchers, and data scientists.
- Is Latris free?
- Basis unknown · not verified: Yes — Latris is open source under the Apache-2.0 license and free to use.
- What platforms does Latris run on?
- Basis unknown · not verified: Latris runs on the web and the command line. It can also be self-hosted.
- Is Latris still active?
- The GitHub repository shows 1 commit in the last 90 days.
- What projects are similar to Latris?
- Similar projects tracked by PulseGate include PyATCLI, quantlib-takt, and DefectRisk.PyATCLIquantlib-taktDefectRisk
- Who makes Latris?
- Latris is developed by Shannon Bengtson.
- How long has Latris been around?
- Latris first shipped in 2026.
Also in Other data science & ML
Same category — not a similarity match