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        "author": "FineArt Information Technology",
        "author_email": "finearit@outlook.com",
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        "description": "<!--\nLicensed to the Apache Software Foundation (ASF) under one\nor more contributor license agreements.  See the NOTICE file\ndistributed with this work for additional information\nregarding copyright ownership.  The ASF licenses this file\nto you under the Apache License, Version 2.0 (the\n\"License\"); you may not use this file except in compliance\nwith the License.  You may obtain a copy of the License at\n\n  http://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing,\nsoftware distributed under the License is distributed on an\n\"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\nKIND, either express or implied.  See the License for the\nspecific language governing permissions and limitations\nunder the License.\n-->\n\nDigitalis\n---------------\nDigitalis is a data exploration and visualization web application.\n\nDigitalis provides:\n* An intuitive interface to explore and visualize datasets, and\n    create interactive dashboards.\n* A wide array of beautiful visualizations to showcase your data.\n* Easy, code-free, user flows to drill down and slice and dice the data\n    underlying exposed dashboards. The dashboards and charts acts as a starting\n    point for deeper analysis.\n* A state of the art SQL editor/IDE exposing a rich metadata browser, and\n    an easy workflow to create visualizations out of any result set.\n* An extensible, high granularity security model allowing intricate rules\n    on who can access which product features and datasets.\n    Integration with major\n    authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, ...)\n* A lightweight semantic layer, allowing to control how data sources are\n    exposed to the user by defining dimensions and metrics\n* Out of the box support for most SQL-speaking databases\n* Deep integration with Druid allows for Digitalis to stay blazing fast while\n    slicing and dicing large, realtime datasets\n* Fast loading dashboards with configurable caching\n\n\nDatabase Support\n----------------\n\nDigitalis speaks many SQL dialects through SQLAlchemy, a Python\nORM that is compatible with\n\nDigitalis can be used to visualize data out of most databases:\n* MySQL\n* Postgres\n* Vertica\n* Oracle\n* Microsoft SQL Server\n* SQLite\n* Greenplum\n* Firebird\n* MariaDB\n* Sybase\n* IBM DB2\n* Exasol\n* MonetDB\n* Snowflake\n* Redshift\n* Clickhouse\n* Apache Kylin\n* Google BigQuery\n* **more!** look for the availability of a SQLAlchemy dialect for your database\n  to find out whether it will work with Digitalis\n\n\n\n",
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