pygraphistry-connectors
PyGraphistry Connectors
Doc routing (local + canonical)
- First route with
../pygraphistry/references/pygraphistry-readthedocs-toc.md. - Use
../pygraphistry/references/pygraphistry-readthedocs-top-level.tsvfor section-level shortcuts. - Only scan
../pygraphistry/references/pygraphistry-readthedocs-sitemap.xmlwhen a needed page is missing. - Use one batched discovery read before deep-page reads; avoid
cat *and serial micro-reads. - In user-facing answers, prefer canonical
https://pygraphistry.readthedocs.io/en/latest/...links.
Strategy
- Prefer dataframe-first ingestion when practical, then bind with
edges()/nodes(). - Use connector-specific notebook patterns when auth/query semantics are specialized.
- For very large datasets, push filtering/aggregation upstream before plotting.
- Keep connector and Graphistry credentials in env vars or secret stores; no hardcoded keys.
- Never use placeholder literals like
username='user'/password='pass'/username='...'; useos.environ[...]oros.environ.get(...). - For concise tasks, respond with a single compact code block and minimal prose.
- In concise snippets, prefer explicit privacy literals (
'private'or'organization') over placeholder variables.
Connector triage rubric
More from graphistry/graphistry-skills
pygraphistry-visualization
Build PyGraphistry visualizations with bindings, encodings, layout controls, static export, and privacy-aware sharing. Use for color/size/icon/badge styling, layout tuning, map/static output, and plot link sharing workflows.
27pygraphistry-core
Core PyGraphistry workflow for authentication, shaping edges/nodes/hypergraphs, and plotting. Use for first-run setup, converting tables to graphs, and producing an initial interactive graph quickly and safely.
25pygraphistry
TOC router for PyGraphistry tasks. Use when a request involves PyGraphistry and you need to choose the right workflow: loading/ETL shaping, visualization/layout/sharing, GFQL queries (Cypher, chain-lists, Let/DAG, GRAPH constructors), AI/UMAP/embed/semantic-search workflows, or connector-specific ingestion.
24pygraphistry-ai
Apply PyGraphistry graph ML/AI workflows such as UMAP, DBSCAN, embedding-based anomaly analysis, and fit/transform pipelines on nodes or edges. Use for feature-driven exploration, clustering, anomaly triage, and graph-AI notebook workflows.
24pygraphistry-gfql
Construct and run GFQL graph queries in PyGraphistry using chain-list syntax OR Cypher strings. Covers pattern matching, hop constraints, predicates, let/DAG bindings, GRAPH constructors, and remote execution. Use when requests involve subgraph extraction, path-style matching, Cypher queries, or GPU/remote graph query workflows.
24graphistry
Umbrella router for Graphistry workflows across SDK and API surfaces. Use to dispatch between Python SDK, REST API, and (future) JavaScript SDK workflows.
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