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https://github.com/meta-d/ocap
🛰 Metad® Open Platform for Enterprise Data Analysis, Indicator Management and Reporting
https://github.com/meta-d/ocap
ai angular bi chatbi echarts langchain ocap olap olap-engine sql wasm
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🛰 Metad® Open Platform for Enterprise Data Analysis, Indicator Management and Reporting
- Host: GitHub
- URL: https://github.com/meta-d/ocap
- Owner: meta-d
- License: other
- Created: 2022-04-17T03:29:41.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-11-12T15:36:13.000Z (2 days ago)
- Last Synced: 2024-11-12T16:36:36.997Z (2 days ago)
- Topics: ai, angular, bi, chatbi, echarts, langchain, ocap, olap, olap-engine, sql, wasm
- Language: TypeScript
- Homepage: https://mtda.cloud/en/
- Size: 42.1 MB
- Stars: 30
- Watchers: 4
- Forks: 8
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE.md
- Code of conduct: .github/CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
English | [中文](./README_zh.md)
[uri_metad]: https://mtda.cloud/en/
[uri_license]: https://www.gnu.org/licenses/agpl-3.0.html
[uri_license_image]: https://img.shields.io/badge/License-AGPL%20v3-blue.svg
Open-Source AI Platform for Enterprise Data Analysis, Indicator Management and System Orchestration
# Metad Analytics Platform
## 💡 What's New
### Xpert AI
**Xpert AI** is an enterprise-level AI system that integrates BI (Business Intelligence) indicators management and intelligent dialogue functionality. It features modules such as a knowledge base, data analysis toolset (ChatBI, ChatDB, Search), and more. It acts as a digital expert, providing intelligent assistant copilot services and is deeply integrated with Feishu (Lark) bots. *Xpert AI* leverages advanced AI technology to offer efficient decision support and information management for enterprises, helping users quickly obtain data insights, optimize business processes, and enhance overall operational efficiency.
[More details](https://mtda.cloud/en/blog/releases-2-7-xpert)
### ChatBI: Natural Language-Driven Business Intelligence Analysis
[ChatBI](https://mtda.cloud/en/docs/chatbi) is an innovative feature we are introducing, combining chat functionality with business intelligence (BI) analysis capabilities. It offers users a more intuitive and convenient data analysis experience through natural language interaction.
[ChatBI_Demo.mp4](https://github.com/user-attachments/assets/5f7c84be-2307-43cf-8342-bce39524e37d)
## 🎯 Mission
__"One Table, One Model, One Indicator System"__
Simple, efficient, integrated. Users can conduct analysis by simply dealing with one fact table. Through the multi-dimensional modeling function provided by the platform, a comprehensive set of indicators can be quickly obtained within the unified semantic model.
## 🌟 What is it
[Metad Platform][uri_metad] - **Open-Source Analytics Platform** for Enterprise Data Analysis Indicator Management and Reporting.
* **Semantic Model**: Perform multi-dimensional data modeling and analysis, allowing users to explore data from various dimensions and hierarchies.
* **Story Dashboard**: Create compelling visual narratives with Story Dashboards, combining interactive visualizations, narrative elements, and data-driven storytelling.
* **Indicator Management**: Easily define, manage, and monitor key performance indicators (KPIs) to ensure data quality, consistency, and effective performance analysis.
* **AI Copilot**: Benefit from AI-driven insights and recommendations to enhance decision-making processes and identify actionable opportunities.
## ✨ Features
Main features:
- **Data Sources**: connects with lots of different databases and data warehouses.
- **OLAP**: SAP BW/BPC, HANA, SSAS, Mondrian, Kylin etc.
- **MPP DB**: StarRocks, Apache Doris, ClickHouse etc.
- **SQL DB**: MySQL, PostgreSQL etc.
- **MR Source**: Hive, Trino etc.
* **Semantic Model**: Supports the unified semantic modeling of two olap engines: MDX and SQL, and supports multi-dimensional modeling and analysis.
* **Query Lab**: An environment for executing and analyzing SQL or MDX queries, with AI Copilot to assist in writing and optimizing SQL or MDX queries.
* **Virtual Cube**: combine dimensions and measures from multiple cubes.
* **Access Control**: The access control of the cube defined based on single role or combined role to the row level.
* **External Cube**: support cube from third-party multiple-dimensional data source, such as SSAS, SAP BW/BPC etc.
* **Calculated Members**: support calculated dimension members and calculated measures using MDX or SQL expression.
* **Project**: A project is a collection of story dashboards, indicators and other resources that are used to create and deliver analytics content collaborating with colleagues.
* **Indicator Management**: Define, manage, and monitor key performance indicators (KPIs) to ensure data quality, consistency, and effective performance analysis.
* Indicator registration
* Indicator certification
* Indicator business area
* Derivative indicator
* Indicator measure
* **Indicator Market**: Publish and share indicators with other users in one place.
* **Indicator Application**: View and analyze indicators in a dedicated single page application.
* **Story Dashboard**: Create compelling visual narratives with Story Dashboards, combining interactive visualizations, narrative elements, and data-driven storytelling.
* **Bigview Dashboard**: A story dashboard suitable for large screen display, supporting data automatic refresh and scrolling display.
* **Mobile Design**: support mobile terminal adaptive design, support mobile terminal browser access.
* **Story Template**: Create and share a unified style and layout template of story.
* **Execution Explain**: Explain the execution process of SQL or MDX queries inculde query statement, slicers, query result and chart options.
* **AI Copilot**: assist users quickly design and implement story dashboards and indicators.
* `/query` command to execute SQL or MDX queries.
* `/story` command to create a story dashboard.
* `/indicator` command to create an indicator.
* `/clear` command to clear the screen.
* ...
Basic feartures of the platform:
* Multi-tenant
* Multiple Organizations Management
* Home Dashboard
* Roles / Permissions
* Tags / Labels
* Custom SMTP
* Email Templates
* Copilot
* Country
* Currency
* Logger
* Storage File
* User
* Invite
* Business Area
* Certification
* Dark / Light and other themes
## 🌼 Screenshots
Show / Hide Screenshots
### Pareto analysis [open in new tab](https://app.mtda.cloud/public/story/892690e5-66ab-4649-9bf5-c1a9c432c01b?pageKey=bsZ0sjxnxI)
### Product profit analysis [open in new tab](https://app.mtda.cloud/public/story/892690e5-66ab-4649-9bf5-c1a9c432c01b?pageKey=6S4oEUnVO3)
### Reseller analysis [open in new tab](https://app.mtda.cloud/public/story/a58112aa-fc9c-4b5b-a04e-4ea9b57ebba9?pageKey=nrEZxh1aqp)
### Bigview dashboard [open in new tab](https://app.mtda.cloud/public/story/9c462bea-89f6-44b8-a35e-34b21cd15a36)
### Indicator application [open in new tab](https://www.mtda.cloud/en/blog/2023/07/24/sample-adv-7-indicator-app)
### Indicator mobile app [open in new tab](https://www.mtda.cloud/en/blog/2023/07/24/sample-adv-7-indicator-app)
## 🔗 Links
* check more information about the platform at the official website.
* (WIP) check the official documentation and tutorials for more details.
* Check out the official blog for the latest updates.
* Login to Metad analytics platform for free use.
## 💻 Demo, Downloads, Testing and Production
### Demo
Metad Analytics Platform Demo at .
Notes:
- You can generate samples data in the home dashbaord page.
### Downloads
You can download [Metad Desktop Agent](https://github.com/meta-d/meta-d/releases) use to connect to your local data sources.
### Production (SaaS)
Metad Analytics Platform SaaS is available at .
Note: it's currently in Alpha version / in testing mode, please use it with caution!
## 🧱 Technology Stack and Requirements
- [TypeScript](https://www.typescriptlang.org) language
- [NodeJs](https://nodejs.org) / [NestJs](https://github.com/nestjs/nest)
- [Nx](https://nx.dev)
- [Angular](https://angular.dev)
- [RxJS](http://reactivex.io/rxjs)
- [TypeORM](https://github.com/typeorm/typeorm)
- [ECharts](https://echarts.apache.org/)
- [Java](https://www.java.com/)
- [Mondrian](https://github.com/pentaho/mondrian)
For Production, we recommend:
- [PostgreSQL](https://www.postgresql.org)
- [PM2](https://github.com/Unitech/pm2)
Note: thanks to TypeORM, OCAP will support lots of DBs: SQLite (default, for demos), PostgreSQL (development/production), MySql, MariaDb, CockroachDb, MS SQL, Oracle, MongoDb, and others, with minimal changes.
#### See also README.md and CREDITS.md files in relevant folders for lists of libraries and software included in the Platform, information about licenses, and other details
## 📄 Documentation
Please refer to our official [Platform Documentation](https://mtda.cloud/en/docs/) and to our [Wiki](https://github.com/meta-d/ocap/wiki) (WIP) or [api references](https://meta-d.github.io/ocap/) for more details.
## 🚀 Quick Start
Please check our [Wiki - Development](https://github.com/meta-d/ocap/wiki/Development) to get started quickly.
## 💌 Contact Us
- For business inquiries:
- [Metad Platform @ Twitter](https://twitter.com/CloudMtda)
## 🛡️ License
We support the open-source community.
This software is available under the following licenses:
- [Metad Analytics Platform Community Edition](https://github.com/meta-d/ocap/blob/master/LICENSE.md#metad-analytics-platform-community-edition-license)
- [Metad Analytics Platform Small Business](https://github.com/meta-d/ocap/blob/master/LICENSE.md#metad-analytics-platform-small-business-license)
- [Metad Analytics Platform Enterprise](https://github.com/meta-d/ocap/blob/master/LICENSE.md#metad-analytics-platform-enterprise-license)
#### Please see [LICENSE](LICENSE.md) for more information on licenses.
## 🍺 Contribute
- Please give us :star: on Github, it **helps**!
- You are more than welcome to submit feature requests in the [ocap repo](https://github.com/meta-d/ocap/issues)
- Pull requests are always welcome! Please base pull requests against the _develop_ branch and follow the [contributing guide](.github/CONTRIBUTING.md).