Pulsar

Rust-backed Python library for topological data analysis. Implements the Thema pipeline: imputation → scaling → projection → Ball Mapper → Cosmic Graph.

Performance-critical algorithms are written in Rust (PyO3/maturin) and exposed as pulsar._pulsar. Python orchestrates the pipeline.

MCP!

Let the Agent Do the Math

Until now, topological data analysis required a Ph.D. in algebraic topology and a masochistic tolerance for parameter tuning.

By default, Pulsar exposes a rich Python API. This is great when you actually want to build custom pipelines, but when you just want to find out why your dataset is acting weird, writing boilerplate is tedious and unintuitive.

We get lots of complaints about it actually, with people asking things like:

Why is my cosmic graph a hairball? What the hell should my epsilon range be? Why did my PCA just drop 90% of the variance?

We hear you, but we're not convinced that writing a 50-line hyperparameter grid search is what you really want. You don't want to have to manually calculate k-NN distances every time you load a CSV. And I doubt you really want to stare at a raw NetworkX adjacency matrix either — you want answers. You want to point an LLM at your data and say, "Find the natural clusters and tell me why they exist."

The Pulsar MCP (Model Context Protocol) Server is our attempt to give you what you actually want, without any of the downsides of doing something stupid like guessing topological parameters.

Setup

Don't overcomplicate this. Add the server to your Claude Desktop config (or Gemini CLI, or whatever you're using):

{
  "mcpServers": {
    "pulsar": {
      "command": "uvx",
      "args": ["--from", "thema-pulsar[mcp]", "pulsar-mcp"],
      "env": {}
    }
  }
}

This pulls thema-pulsar straight from PyPI — no clone, no uv sync required. If you prefer a persistent install, pipx install "thema-pulsar[mcp]" and use "command": "pulsar-mcp" instead.

Restart your client. Done.

General Overview

What follows from here is the exact workflow we designed to dogfood the pipeline. It covers every sensible step of a topological analysis, from geometry probing to statistical dossiers.

It's important you let the agent follow this exact sequence for a few reasons:

We want the graph to actually have signal out of the box.
Really just the first reason, that's the whole point of these tools.

Here is the exact loop the agent should run:

Ingest the dataset to get a stable dataset_id handle.
Create a calibrated config via create_config(dataset_id) — calibrates epsilon and projection dimensions against the processed feature space.
Sweep the topology using that config.
Diagnose the graph to see if it's a giant useless blob or actually balanced. Use the metrics to decide what to adjust, then iterate via refine_config.
Generate the dossier to explain the clusters in plain English.
Compare clusters for academic-grade p-values.
Export the labeled data.

Tool Fly-By

We didn't just wrap our Python functions in JSON schemas. We built Thick Tools—stateful, workflow-aware engines that pass configuration directly between each other so you don't have to watch the agent screw up file I/O.

create_config(dataset_id): The primary config generation tool. Analyzes k-NN distances and projection dimensions in the processed feature space (after preprocessing + scaling) to produce a calibrated YAML config. Never let the agent guess parameters.
run_topological_sweep: Runs the heavy Rust pipeline. Takes inline YAML and returns structured JSON with metrics and experiment diff. Config persistence is opt-in via save_config=True.
diagnose_cosmic_graph: Returns current graph-state observables: scale, component morphology, weight distribution, sweep support, observed patterns, and risk factors. The agent interprets those measurements against the user's objective.
generate_cluster_dossier: Returns structured JSON with per-cluster profiles (Z-scores, homogeneity, concentration) plus a Markdown summary. Includes clustering method metadata (method used, silhouette score).
compare_clusters: Runs Welch's T-tests, KS-tests, and Cohen's d between two specific clusters. Because sometimes your boss wants a p-value.
export_labeled_data: Maps semantic names to a cluster_assignment_id from generate_cluster_dossier and dumps that exact clustering to a CSV.

Pitfalls & Annoyances

We try to make things foolproof, but some of you goofballs are going to try to break it anyway. Here is what to avoid:

Don't let the agent write YAML files manually. The tools pass YAML strings directly in memory (suggested_params_yaml -> config_yaml). If you watch the agent try to use write_file to save a params.yaml before running the sweep, stop it. If you make the agent do unnecessary file I/O you belong in prison.
Don't skip the diagnosis step. If the graph is a giant hairball, your clusters will be garbage. Use diagnose_cosmic_graph to inspect graph-state measurements, then decide whether the user's objective calls for threshold inspection, config refinement, or a different interpretation surface.
Handle non-numeric data appropriately. Pulsar is a geometric engine. It needs floats. characterize_dataset will automatically tell the agent which low-cardinality strings to one-hot encode and which high-cardinality strings to drop. Don't fight it.

[!NOTE]
For more guides, workflows, and an end-to-end MCP example, see demos/penguins/README.md.

Citation

If you use this package in your research, please cite:

@article{Gathrid2025,
  author  = {Gathrid, Sidney and Wayland, Jeremy and Wayland, Stuart and Deshmukh, Ranjit and Wu, Grace C.},
  title   = {Strategies to accelerate US coal power phase-out using contextual retirement vulnerabilities},
  journal = {Nature Energy},
  year    = {2025},
  volume  = {10},
  number  = {10},
  pages   = {1274--1288},
  month   = {October},
  doi     = {10.1038/s41560-025-01871-0},
  url     = {https://doi.org/10.1038/s41560-025-01871-0},
  issn    = {2058-7546}
}

Which introduced the original Thema algorithm.

Installation

Requires Rust and Python 3.10+.

uv sync
uv run maturin develop --release

Quick start

from pulsar import ThemaRS

model = ThemaRS("params.yaml").fit()

graph = model.cosmic_graph        # sparse networkx.Graph with 'weight' edge attributes
adj   = model.weighted_adjacency  # dense weighted adjacency, materialized lazily on access
edges = model.weighted_edges()    # thresholded sparse edge list
reps  = model.select_representatives()  # uses the configured default

# Opt-in spectral sparsification hook: a leverage-aware, epsilon-controlled graph
# that preserves spectrum/distances (not topology). Useful for spectral analysis;
# it is NOT a construction-time speedup. update=True refreshes model.cosmic_graph.
model.spectral_sparsify(epsilon=0.8, seed=7, update=True)

Copy params.yaml.sample to params.yaml and edit it for your dataset.

Progress reporting

Stage weight constants for progress_callback live in pulsar.runtime.utils._STAGE_WEIGHTS; pulsar.runtime.utils._build_cumulative_fractions turns them into cumulative fractions (used by ThemaRS.fit).
_rayon_thread_override in pulsar.runtime.utils caps RAYON_NUM_THREADS for Rust-heavy stages when notebooks need stricter thread control.
For notebooks: use pulsar.runtime.progress.fit_with_progress(model, data) or fit_multi_with_progress(model, datasets) — renders a transient rich progress bar.

Demos

Demo scripts organized by domain under demos/:

Energy domain:

uv run python demos/energy/coal.py  # US Coal Plants (downloads dataset automatically)

EHR domain:

uv run python demos/ehr/physionet.py --synthetic             # Synthetic data mode
uv run python demos/ehr/physionet.py --data path/to/eicu.csv # Real eICU CSV data
uv run python demos/ehr/ecg_arrhythmia.py                    # ECG arrhythmia classification

LLM/MMLU domain:

jupyter notebook demos/mmlu/mmlu_topology_demo.ipynb

Configuration

Cosmic graph thresholding is automatic by default, and representative selection has a sensible default. Most users only need to configure data, preprocessing, and sweeps.

run:
  name: my_experiment
  data: path/to/data.csv # CSV or parquet

preprocessing:
  drop_columns: [id, timestamp]
  impute:
    age:
      method: sample_normal # fill_mean | fill_median | fill_mode |
      seed: 42 # sample_normal | sample_categorical
    category:
      method: sample_categorical
      seed: 7

sweep:
  projection:
    method: jl # default; set to pca for legacy randomized PCA
    dimensions:
      values: [2, 3, 5]
    seed:
      values: [42, 7, 13]
    center: true
  ball_mapper:
    epsilon:
      range: { min: 0.1, max: 1.5, steps: 8 } # or: values: [0.3, 0.5, 0.8]
cosmic_graph:
  construction: minhash
  minhash_d: 256
  minhash_seed: 42
  construction_threshold: auto
  sparsify: false # opt-in spectral sparsification hook (off by default)
  sparsify_epsilon: 1.0
  sparsify_seed: 42

Development

uv run maturin develop        # debug build
uv run maturin develop --release  # optimised build
uv run pytest tests/ -v
uv run pytest tests/test_benchmark_accelerations.py -s -v

Release files for thema-pulsar 0.2.5

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Source distribution for thema-pulsar 0.2.5
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thema_pulsar-0.2.5.tar.gz	3.6 MB	Jul 17, 2026	Details

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Table of built distributions (wheels) for thema-pulsar 0.2.5
File	Interpreter	ABI	Platform	Reset
thema_pulsar-0.2.5-cp313-cp313-win_amd64.whl 719.8 kB Jul 17, 2026	CPython 3.13	CPython 3.13	Windows x86-64	Details
thema_pulsar-0.2.5-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 841.3 kB Jul 17, 2026	CPython 3.13	CPython 3.13	Linux glibc 2.17+ x86-64	Details
thema_pulsar-0.2.5-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 771.3 kB Jul 17, 2026	CPython 3.13	CPython 3.13	Linux glibc 2.17+ ARM64	Details
thema_pulsar-0.2.5-cp313-cp313-macosx_11_0_arm64.whl 741.1 kB Jul 17, 2026	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
thema_pulsar-0.2.5-cp313-cp313-macosx_10_12_x86_64.whl 806.0 kB Jul 17, 2026	CPython 3.13	CPython 3.13	macOS 10.12+ x86-64	Details
thema_pulsar-0.2.5-cp312-cp312-win_amd64.whl 720.1 kB Jul 17, 2026	CPython 3.12	CPython 3.12	Windows x86-64	Details
thema_pulsar-0.2.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 841.6 kB Jul 17, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.17+ x86-64	Details
thema_pulsar-0.2.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 771.6 kB Jul 17, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.17+ ARM64	Details
thema_pulsar-0.2.5-cp312-cp312-macosx_11_0_arm64.whl 741.3 kB Jul 17, 2026	CPython 3.12	CPython 3.12	macOS 11.0+ ARM64	Details
thema_pulsar-0.2.5-cp312-cp312-macosx_10_12_x86_64.whl 806.4 kB Jul 17, 2026	CPython 3.12	CPython 3.12	macOS 10.12+ x86-64	Details
thema_pulsar-0.2.5-cp311-cp311-win_amd64.whl 719.6 kB Jul 17, 2026	CPython 3.11	CPython 3.11	Windows x86-64	Details
thema_pulsar-0.2.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 840.7 kB Jul 17, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.17+ x86-64	Details
thema_pulsar-0.2.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 771.5 kB Jul 17, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.17+ ARM64	Details
thema_pulsar-0.2.5-cp311-cp311-macosx_11_0_arm64.whl 741.1 kB Jul 17, 2026	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details
thema_pulsar-0.2.5-cp311-cp311-macosx_10_12_x86_64.whl 805.9 kB Jul 17, 2026	CPython 3.11	CPython 3.11	macOS 10.12+ x86-64	Details
thema_pulsar-0.2.5-cp310-cp310-win_amd64.whl 719.7 kB Jul 17, 2026	CPython 3.10	CPython 3.10	Windows x86-64	Details
thema_pulsar-0.2.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 840.9 kB Jul 17, 2026	CPython 3.10	CPython 3.10	Linux glibc 2.17+ x86-64	Details
thema_pulsar-0.2.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 771.8 kB Jul 17, 2026	CPython 3.10	CPython 3.10	Linux glibc 2.17+ ARM64	Details
thema_pulsar-0.2.5-cp310-cp310-macosx_11_0_arm64.whl 741.0 kB Jul 17, 2026	CPython 3.10	CPython 3.10	macOS 11.0+ ARM64	Details
thema_pulsar-0.2.5-cp310-cp310-macosx_10_12_x86_64.whl 805.9 kB Jul 17, 2026	CPython 3.10	CPython 3.10	macOS 10.12+ x86-64	Details

Total release size: 19.1 MB

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Uploaded via	`twine/6.1.0 CPython/3.13.12`

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Krv-Labs/pulsar
Publishing commit: github.com/Krv-Labs/pulsar/tree/8113306f0da84aaa0e233c2d29f360b4f84cb156

Workflow

Publishing configuration: github.com/Krv-Labs/pulsar/blob/8113306f0da84aaa0e233c2d29f360b4f84cb156/.github/workflows/release.yml
Publishing logs: github.com/Krv-Labs/pulsar/actions/runs/29546670768/attempts/1

Artifact

Subject: thema_pulsar-0.2.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
SHA-256 checksum: 2765452c6d83e1c00981de7fa1801d9f1a5d5c66c22d41aecb9e32a73cd23753 Verifying attestations

Release files / thema_pulsar-0.2.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL	thema_pulsar-0.2.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size	771.6 kB
Tags	CPython 3.12 Linux glibc 2.17+ ARM64
SHA-256 checksum How to use checksums	`6bb9781b71eaccae795e9b569bfb4ebe6f267c25a97ba5ebcc17b92ce15da769`
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Upload date	Jul 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Krv-Labs/pulsar
Publishing commit: github.com/Krv-Labs/pulsar/tree/8113306f0da84aaa0e233c2d29f360b4f84cb156

Workflow

Publishing configuration: github.com/Krv-Labs/pulsar/blob/8113306f0da84aaa0e233c2d29f360b4f84cb156/.github/workflows/release.yml
Publishing logs: github.com/Krv-Labs/pulsar/actions/runs/29546670768/attempts/1

Artifact

Subject: thema_pulsar-0.2.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
SHA-256 checksum: 6bb9781b71eaccae795e9b569bfb4ebe6f267c25a97ba5ebcc17b92ce15da769 Verifying attestations

Release files / thema_pulsar-0.2.5-cp312-cp312-macosx_11_0_arm64.whl

Download URL	thema_pulsar-0.2.5-cp312-cp312-macosx_11_0_arm64.whl
Size	741.3 kB
Tags	CPython 3.12 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`35e5915c451f8f71d14f0cb9d972e4c989a959afbb42f49550dcc981b1da51be`
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Upload date	Jul 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Krv-Labs/pulsar
Publishing commit: github.com/Krv-Labs/pulsar/tree/8113306f0da84aaa0e233c2d29f360b4f84cb156

Workflow

Publishing configuration: github.com/Krv-Labs/pulsar/blob/8113306f0da84aaa0e233c2d29f360b4f84cb156/.github/workflows/release.yml
Publishing logs: github.com/Krv-Labs/pulsar/actions/runs/29546670768/attempts/1

Artifact

Subject: thema_pulsar-0.2.5-cp312-cp312-macosx_11_0_arm64.whl
SHA-256 checksum: 35e5915c451f8f71d14f0cb9d972e4c989a959afbb42f49550dcc981b1da51be Verifying attestations

Release files / thema_pulsar-0.2.5-cp312-cp312-macosx_10_12_x86_64.whl

Download URL	thema_pulsar-0.2.5-cp312-cp312-macosx_10_12_x86_64.whl
Size	806.4 kB
Tags	CPython 3.12 macOS 10.12+ x86-64
SHA-256 checksum How to use checksums	`e879d3506136d56150b851a0b7726a099f9ed89ef220bd445faa47f2402a2632`
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Upload date	Jul 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Krv-Labs/pulsar
Publishing commit: github.com/Krv-Labs/pulsar/tree/8113306f0da84aaa0e233c2d29f360b4f84cb156

Workflow

Publishing configuration: github.com/Krv-Labs/pulsar/blob/8113306f0da84aaa0e233c2d29f360b4f84cb156/.github/workflows/release.yml
Publishing logs: github.com/Krv-Labs/pulsar/actions/runs/29546670768/attempts/1

Artifact

Subject: thema_pulsar-0.2.5-cp312-cp312-macosx_10_12_x86_64.whl
SHA-256 checksum: e879d3506136d56150b851a0b7726a099f9ed89ef220bd445faa47f2402a2632 Verifying attestations

Release files / thema_pulsar-0.2.5-cp311-cp311-win_amd64.whl

Download URL	thema_pulsar-0.2.5-cp311-cp311-win_amd64.whl
Size	719.6 kB
Tags	CPython 3.11 Windows x86-64
SHA-256 checksum How to use checksums	`e0a450ff598e1c425b9ed3e9d6228aeea5012069fe9e19c175a80b1dad46a31a`
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Upload date	Jul 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Krv-Labs/pulsar
Publishing commit: github.com/Krv-Labs/pulsar/tree/8113306f0da84aaa0e233c2d29f360b4f84cb156

Workflow

Publishing configuration: github.com/Krv-Labs/pulsar/blob/8113306f0da84aaa0e233c2d29f360b4f84cb156/.github/workflows/release.yml
Publishing logs: github.com/Krv-Labs/pulsar/actions/runs/29546670768/attempts/1

Artifact

Subject: thema_pulsar-0.2.5-cp311-cp311-win_amd64.whl
SHA-256 checksum: e0a450ff598e1c425b9ed3e9d6228aeea5012069fe9e19c175a80b1dad46a31a Verifying attestations

Release files / thema_pulsar-0.2.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL	thema_pulsar-0.2.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size	840.7 kB
Tags	CPython 3.11 Linux glibc 2.17+ x86-64
SHA-256 checksum How to use checksums	`de325e48568da27bae41ac969d1626126d502b772cc7340dbf83624edbf5bd12`
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Upload date	Jul 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Krv-Labs/pulsar
Publishing commit: github.com/Krv-Labs/pulsar/tree/8113306f0da84aaa0e233c2d29f360b4f84cb156

Workflow

Publishing configuration: github.com/Krv-Labs/pulsar/blob/8113306f0da84aaa0e233c2d29f360b4f84cb156/.github/workflows/release.yml
Publishing logs: github.com/Krv-Labs/pulsar/actions/runs/29546670768/attempts/1

Artifact

Subject: thema_pulsar-0.2.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
SHA-256 checksum: de325e48568da27bae41ac969d1626126d502b772cc7340dbf83624edbf5bd12 Verifying attestations

Release files / thema_pulsar-0.2.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL	thema_pulsar-0.2.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size	771.5 kB
Tags	CPython 3.11 Linux glibc 2.17+ ARM64
SHA-256 checksum How to use checksums	`8f729174130ef192481b4a2de767b988cd0eaddff9cf39826ec57383870058f8`
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Upload date	Jul 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Krv-Labs/pulsar
Publishing commit: github.com/Krv-Labs/pulsar/tree/8113306f0da84aaa0e233c2d29f360b4f84cb156

Workflow

Publishing configuration: github.com/Krv-Labs/pulsar/blob/8113306f0da84aaa0e233c2d29f360b4f84cb156/.github/workflows/release.yml
Publishing logs: github.com/Krv-Labs/pulsar/actions/runs/29546670768/attempts/1

Artifact

Subject: thema_pulsar-0.2.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
SHA-256 checksum: 8f729174130ef192481b4a2de767b988cd0eaddff9cf39826ec57383870058f8 Verifying attestations

Release files / thema_pulsar-0.2.5-cp311-cp311-macosx_11_0_arm64.whl

Download URL	thema_pulsar-0.2.5-cp311-cp311-macosx_11_0_arm64.whl
Size	741.1 kB
Tags	CPython 3.11 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`fabfdf3e130dcc8a22d67e1124cc3854ec09e3b9f7ac7dc816b317fe3dfa6418`
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Upload date	Jul 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Krv-Labs/pulsar
Publishing commit: github.com/Krv-Labs/pulsar/tree/8113306f0da84aaa0e233c2d29f360b4f84cb156

Workflow

Publishing configuration: github.com/Krv-Labs/pulsar/blob/8113306f0da84aaa0e233c2d29f360b4f84cb156/.github/workflows/release.yml
Publishing logs: github.com/Krv-Labs/pulsar/actions/runs/29546670768/attempts/1

Artifact

Subject: thema_pulsar-0.2.5-cp311-cp311-macosx_11_0_arm64.whl
SHA-256 checksum: fabfdf3e130dcc8a22d67e1124cc3854ec09e3b9f7ac7dc816b317fe3dfa6418 Verifying attestations

Release files / thema_pulsar-0.2.5-cp311-cp311-macosx_10_12_x86_64.whl

Download URL	thema_pulsar-0.2.5-cp311-cp311-macosx_10_12_x86_64.whl
Size	805.9 kB
Tags	CPython 3.11 macOS 10.12+ x86-64
SHA-256 checksum How to use checksums	`970d25724011c8a0cc6bf3f17688e1beab346da0acdb6a606214f90db3e5b842`
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Upload date	Jul 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Krv-Labs/pulsar
Publishing commit: github.com/Krv-Labs/pulsar/tree/8113306f0da84aaa0e233c2d29f360b4f84cb156

Workflow

Publishing configuration: github.com/Krv-Labs/pulsar/blob/8113306f0da84aaa0e233c2d29f360b4f84cb156/.github/workflows/release.yml
Publishing logs: github.com/Krv-Labs/pulsar/actions/runs/29546670768/attempts/1

Artifact

Subject: thema_pulsar-0.2.5-cp311-cp311-macosx_10_12_x86_64.whl
SHA-256 checksum: 970d25724011c8a0cc6bf3f17688e1beab346da0acdb6a606214f90db3e5b842 Verifying attestations

Release files / thema_pulsar-0.2.5-cp310-cp310-win_amd64.whl

Download URL	thema_pulsar-0.2.5-cp310-cp310-win_amd64.whl
Size	719.7 kB
Tags	CPython 3.10 Windows x86-64
SHA-256 checksum How to use checksums	`c382ed764f5340e756b427da8cb7193567b0a923d4f8e4d9b0fa949cf1d8e253`
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Upload date	Jul 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Krv-Labs/pulsar
Publishing commit: github.com/Krv-Labs/pulsar/tree/8113306f0da84aaa0e233c2d29f360b4f84cb156

Workflow

Publishing configuration: github.com/Krv-Labs/pulsar/blob/8113306f0da84aaa0e233c2d29f360b4f84cb156/.github/workflows/release.yml
Publishing logs: github.com/Krv-Labs/pulsar/actions/runs/29546670768/attempts/1

Artifact

Subject: thema_pulsar-0.2.5-cp310-cp310-win_amd64.whl
SHA-256 checksum: c382ed764f5340e756b427da8cb7193567b0a923d4f8e4d9b0fa949cf1d8e253 Verifying attestations

Release files / thema_pulsar-0.2.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL	thema_pulsar-0.2.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size	840.9 kB
Tags	CPython 3.10 Linux glibc 2.17+ x86-64
SHA-256 checksum How to use checksums	`d64713237b1767b186e7906429b670bb225ce852767af233d71542646c5220dd`
BLAKE2b-256 checksum How to use checksums	`f0a2fa05f7ca152fa7a9b598df4c9f2dace619228eeff2f62945858521dfdeae`
Upload date	Jul 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Krv-Labs/pulsar
Publishing commit: github.com/Krv-Labs/pulsar/tree/8113306f0da84aaa0e233c2d29f360b4f84cb156

Workflow

Publishing configuration: github.com/Krv-Labs/pulsar/blob/8113306f0da84aaa0e233c2d29f360b4f84cb156/.github/workflows/release.yml
Publishing logs: github.com/Krv-Labs/pulsar/actions/runs/29546670768/attempts/1

Artifact

Subject: thema_pulsar-0.2.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
SHA-256 checksum: d64713237b1767b186e7906429b670bb225ce852767af233d71542646c5220dd Verifying attestations

Release files / thema_pulsar-0.2.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL	thema_pulsar-0.2.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size	771.8 kB
Tags	CPython 3.10 Linux glibc 2.17+ ARM64
SHA-256 checksum How to use checksums	`f1fc072ff2e687335b000a420952836927c87955cc4e2f99f90149a016318e52`
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Upload date	Jul 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Krv-Labs/pulsar
Publishing commit: github.com/Krv-Labs/pulsar/tree/8113306f0da84aaa0e233c2d29f360b4f84cb156

Workflow

Publishing configuration: github.com/Krv-Labs/pulsar/blob/8113306f0da84aaa0e233c2d29f360b4f84cb156/.github/workflows/release.yml
Publishing logs: github.com/Krv-Labs/pulsar/actions/runs/29546670768/attempts/1

Artifact

Subject: thema_pulsar-0.2.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
SHA-256 checksum: f1fc072ff2e687335b000a420952836927c87955cc4e2f99f90149a016318e52 Verifying attestations

Release files / thema_pulsar-0.2.5-cp310-cp310-macosx_11_0_arm64.whl

Download URL	thema_pulsar-0.2.5-cp310-cp310-macosx_11_0_arm64.whl
Size	741.0 kB
Tags	CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`80848db643dc0742fc297c71f2dc82d32a05ebdadfcdd28ef49c749d1586afbf`
BLAKE2b-256 checksum How to use checksums	`bf64376f4adb1b699aa7b9634d94c3116555f3978003b481d1102bde782733fe`
Upload date	Jul 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Krv-Labs/pulsar
Publishing commit: github.com/Krv-Labs/pulsar/tree/8113306f0da84aaa0e233c2d29f360b4f84cb156

Workflow

Publishing configuration: github.com/Krv-Labs/pulsar/blob/8113306f0da84aaa0e233c2d29f360b4f84cb156/.github/workflows/release.yml
Publishing logs: github.com/Krv-Labs/pulsar/actions/runs/29546670768/attempts/1

Artifact

Subject: thema_pulsar-0.2.5-cp310-cp310-macosx_11_0_arm64.whl
SHA-256 checksum: 80848db643dc0742fc297c71f2dc82d32a05ebdadfcdd28ef49c749d1586afbf Verifying attestations

Release files / thema_pulsar-0.2.5-cp310-cp310-macosx_10_12_x86_64.whl

Download URL	thema_pulsar-0.2.5-cp310-cp310-macosx_10_12_x86_64.whl
Size	805.9 kB
Tags	CPython 3.10 macOS 10.12+ x86-64
SHA-256 checksum How to use checksums	`2b38a518d17316098ea00194a71b15cec79b2152b74b38f5fc23b1a9e4413edd`
BLAKE2b-256 checksum How to use checksums	`8783c9411b04da98c7e91ba40c6bb4ba669567bb7a448dc4fb658e0acd7fe1f5`
Upload date	Jul 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Krv-Labs/pulsar
Publishing commit: github.com/Krv-Labs/pulsar/tree/8113306f0da84aaa0e233c2d29f360b4f84cb156

Workflow

Publishing configuration: github.com/Krv-Labs/pulsar/blob/8113306f0da84aaa0e233c2d29f360b4f84cb156/.github/workflows/release.yml
Publishing logs: github.com/Krv-Labs/pulsar/actions/runs/29546670768/attempts/1

Artifact

Subject: thema_pulsar-0.2.5-cp310-cp310-macosx_10_12_x86_64.whl
SHA-256 checksum: 2b38a518d17316098ea00194a71b15cec79b2152b74b38f5fc23b1a9e4413edd Verifying attestations