Graphistry

Added

* `register(..., org_name='my_org')`: Optionally upload into an organization
* `g.privacy(mode='organization')`: Optionally limit sharing to within your organization

Changed

* docs: `org_name` in `README.md` and sharing tutorial

Added

* `compute_igraph()`
* `layout_igraph()`
* `scene_settings()`

Fixed

* `from_igraph` uses `g._node` instead of `'name'` in more cases

Fixed

* `g.from_igraph(ig)` will use IDs (ex: strings) for src/dst values instead of igraph indexes

Major version bump due to breaking igraph change

Added

* igraph handlers: `graphistry.from_igraph`, `g.from_igraph`, `g.to_igraph`
* docs: README.md examples of using new igraph methods

Changed

* Deprecation warnings in old igraph methods: `g.graph(ig)`, `igraph2pandas`, `pandas2igraph`
* Internal igraph handlers upgraded to use new igraph methods

Breaking 🔥

* `network2igraph` and `igraph2pandas` renamed output node ID column to `_n_implicit` (`constants.NODE`)

Fixed

* Expose symbols for `.chain()` predicates as top-level: previous `ast` export was incorrect

Major version bump due to large dependency increases for kitchen-sink installs and overall sizeable new feature

Added

* Use buildkit with pip install caching for test dockerfiles
* Graph AI branch: Autoencoding via dirty_cat and sentence_transformers (`g.featurize()`)
* Graph AI branch: UMAP via umap_learn (`g.umap()`)
* Graph AI branch: GNNs via DGL (`g.build_dgl_graph()`)
* `g.reset_caches()` to clear upload and compute caches (last 100)
* Central `setup_logger()`
* Official Python 3.10 support

Changed

* Logging: Refactor to `setup_logger(__name__)`

Fixed

* hypergraph: use default logger instead of DEBUG