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PyATCLI

PyPIInfrastructure

No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 10 Oct 2026. How this is checked

PyATCLI is an AGPL-licensed Python analysis library, engine, and command-line tool for TDT fibre photometry, Oxysoft NIRS, Terranova EFNMR, and text-field studies. It includes provenance records to support reproducible research workflows.

Inferred · not functionally tested

Open SourceAGPL-3.0CLISelf-hosted
Visit PyPI
1star
7features
2026since

Overview

6 features

Purpose: Analyzing and reproducing neuroscience, signal-processing, and text-field research workflows from the command line.

Inferred · not functionally tested

Audience: neuroscience researchers and data scientists

Inferred · not functionally tested

Functions: 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: AGPL-3.0 · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

PyATCLI sits in PulseGate's Other data science & ML category. Inferred · not functionally tested: It focuses on analyzing and reproducing neuroscience, signal-processing, and text-field research workflows from the command line. Inferred · not functionally tested: It is built as an open-source project for neuroscience researchers and data scientists. Basis unknown · not verified: PyATCLI is open source under the AGPL-3.0 license. Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

Behind PyATCLI is zakgm2, and it first shipped in 2026. The project is developed in the open on GitHub with 21 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include fibre photometry analysis, NIRS analysis, and EFNMR analysis.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Fibre photometry analysis
  • NIRS analysis
  • EFNMR analysis
  • Text-field analysis
  • Signal processing
  • Provenance records

Topics: Inferred · not functionally tested

Tags
fibre-photometrynirs-analysisefnmr-processingsignal-processingresearch-reproducibility

JSON profile · Text profile · Access guide

Built with & integrations

Written with
Claude Code
Runs on
CLISelf-hosted
Written with — evidence
Claude Code
commit 444043827f05 · since Jul 2026

Trust & compliance

License
AGPL-3.0
Public signals
HTTPSOpen SourceGitHub · ★ 1Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed10 Oct · 20:05 UTC
    PyATCLI seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about PyATCLI

What is PyATCLI?
Inferred · not functionally tested: PyATCLI focuses on analyzing and reproducing neuroscience, signal-processing, and text-field research workflows from the command line. It is catalogued under Other data science & ML on PulseGate.
Who should use PyATCLI?
Inferred · not functionally tested: PyATCLI is an open-source project built for neuroscience researchers and data scientists.
Is PyATCLI free?
Basis unknown · not verified: Yes — PyATCLI is open source under the AGPL-3.0 license and free to use.
What platforms does PyATCLI run on?
Basis unknown · not verified: PyATCLI runs on the command line. It can also be self-hosted.
Is PyATCLI still active?
The GitHub repository shows 21 commits in the last 90 days.
Who develops PyATCLI?
PyATCLI is developed by zakgm2.
When did PyATCLI launch?
PyATCLI first shipped in 2026.
Is PyATCLI open source?
Basis unknown · not verified: Yes — PyATCLI is open source under the AGPL-3.0 license, developed on GitHub.

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