2.0.0

Major changes:

• complete frontend rewrite
• many bug fixes
• many UI enhancements
• backend now uses flask (with waitress to serve) rather than tornado by default
• better caching
• backend port is no longer used directly by the browser (eliminates special colab code)
• new integrations with huggingface and Comet
• can now use remotely-stored images
• new annotation format to support layers
• use kangas upgrade *.datagrid to update datagrids
• enhanced Python-to-SQL: more syntax supported, new sqlite_query command for any db
• new URL variables, including rows
• better filter command completion, and error indicator

1.3.4

Fixes in this release:

• Fixed numpy deprecated np.float to np.float_
• fixed hyper-link error
• Don't allow thumbnails to get too small
• Strip spaces off of whereExpr in handlers
• Refactor completions; added support for columns of strings, more general
• Query language: handle NOT IN
• Added completions: .values() and .keys(); fixed unprotected {'column'}.split()

1.3.3

New in this release:

1. Updated JSON metadata format
2. New completions (endpoint, UI): Entering "." after a JSON {"column name"} will give JSON object keys
3. Added more test coverage for queries: Python and SQL in operator
4. Added .keys() and .values()
5. Deprecate .contains(): use item in item instead
6. Fixed bug with .startswith()
7. Optimization for dg.select() (removed unused count query)
8. Don't crash when a HuggingFace dataset can't .take()
9. Added dg.append_columns(dict)

1.3.2

Fixed in this release:

• Fixed a regression with numpy numbers--they were interpreted as VECTORS rather than floats or ints

1.3.1

This version includes these changes:

• use /datagrid/query-page instead of /datagrid/query when total is not needed
• use /datagrid/query-total to get total
• someday, use /datagrid/query will be deprecated

1.3.0

This version contains:

• New datagrid.append_column() for saved dg's, with computed columns
• New functionality: kangas server now runs in parallel
• Expanded the query language to include x < y < z
• Added JSON lists (list of JSON items)
• Added VECTORS (lists of numbers)

1.2.3

New in this release:

• Allow regular JSON too (if list of objects)
• Added JSON from cli, eg: kangas server https://instances.social/instances.json
• Added ability to read parquet files
• Refactored dg.select() and dg.select_dataframe(), with limit and offset
• Added {"column name"}.split(...)
• Added additional flags: kangas server huggingface-dataset --streaming --samples N --seed M

1.2.2

New in this release:

• Show lazy loading spinner, especially for colab images
• Refactored dg.select(), and dg.select_count()
• Added dg.select_dataframe()
• dg.select methods can now take computed_columns
• increased max column length to 10k chars

1.2.1

New in this release:

• Force white background, for now
• List comprehension (see docs) [PYTHON-EXPRESSION for PYTHON-VAR in SQL-OBJECT if PYTHON-EXPRESSIONS...]
• Filters from command-line, and dg.show(filter): start kangas up with a filter set
• New examples and documentation

1.2.0

New in this release:

• Updated filter query language:
  • added list comprehension to process list data, dicts, and list of dicts
  • added any, all, and flatten functions
  • will use RestrictedPython, if installed
• added metadata to Image overlay APIs (eg, add_bounding_boxes)
• Protect gethostbyname when on VPN
• Updated checks and docstring for read_csv(header)