Gramex exposes the most common data solution (data, analytics, visualization, deployment) as a configuration-based DSL
Rather than creating these components from scratch, use Gramex's built-in apps, components, microservices, and libraries
Humans are not number cruncher’s. We're pattern recognition engines. We understand pictures a thousand times faster than numbers.
Our portfolio of customizable charts (Gramex Charts) makes charting quick, error free, and with infinite possibilities.
We believe insights are analyses that are big, useful, and surprising. By automating patterns of analysis into libraries, we make it easy for developers to embed analytical components.
Gramex enables several such algorithms using a customizable microservice called ModelHandler.
With Gramex you can create memorable data stories weaving actionable insights together. Automate data narratives in simple English (or any other language).
(If you're into comic narration, Comicgen, our data comics library, has you covered.)
Some teams use apps like SAP or SalesForce. Some use Excel or PowerPoint. Some use Tableau or Power BI. But every team wants insights as part of their toolset, without disrupting their workflow.
Gramex connects natively to most applications, in real-time. See our Excel maps, Dashboards in PowerPoint (using SlideSense, which creates interactive data-driven presentations), Comics plugin for Power BI as examples.
We work with enterprise clients to integrate their Tableau, Power BI, Qlik, Microstrategy and other dashboards via Gramex.
gramex init to start building a data solution. It creates the scaffolding for the app in seconds.
Moving a prototype to production is a hassle. We like keeping our apps small, but inter-operable. Gramex makes creating micro-services easier.
For example, exposing any database or an Excel file as a REST API requires zero code, and just a few lines of configuration with the FormHandler micro-service.
pip install gramex is all it takes to use the Gramex libraries -- just like any of the popular Python libraries like Pandas, Scikit-learn, or Matplotlib.