PyPOTS
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values
Install with one command
$ npx skills add WenjieDu/PyPOTSBest for
GitHub automation
Browse skills for pull requests, issues, repository triage, changelog generation, release notes, and developer workflow automation.
Choose it when
- You want a GitHub-backed skill with 2.0K stars.
- You need a reusable install command for agents.
- You want to compare it with related marketplace skills.
Check before install
- Pushed 12d ago
- License: BSD-3-Clause
- Review the repository README and examples.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Analyze datasets
Data analysis
I need my agent to analyze CSV data, produce insights, and explain trends.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Stack fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Overview
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- BSD-3-Clause
- Last Updated
- 5/24/2026
- Published
- 5/24/2026
Frameworks & Tools
Author
WenjieDu✓
@wenjiedu
Tags
Platform Fit
Health Signals
- GitHub stars
- 2.0K
- Quality score
- 65/100
- Last GitHub push
- May 12, 2026
- Framework hints
- 2
Community Signal
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Trust & Safety
- —Open source (public GitHub repo)
- —AI static analysis passed
- —License: BSD-3-Clause
- —Manually verified by team
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