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Name: SamKenXEcosystem

Type: Organization

Bio: 'Powerful Multiplex Universal X Singularity'',a complete monorepo Intrastracture.Synchronized formulae as a free and self experiment solutions .

Location: Philippines

Blog: https://samkenx.com https://xcc.net

Superset

A modern, enterprise-ready business intelligence web application.

Why Superset?

Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.

Superset provides:

A no-code interface for building charts quickly
A powerful, web-based SQL Editor for advanced querying
A lightweight semantic layer for quickly defining custom dimensions and metrics
Out of the box support for nearly any SQL database or data engine
A wide array of beautiful visualizations to showcase your data, ranging from simple bar charts to geospatial visualizations
Lightweight, configurable caching layer to help ease database load
Highly extensible security roles and authentication options
An API for programmatic customization
A cloud-native architecture designed from the ground up for scale

Screenshots & Gifs

Large Gallery of Visualizations

Craft Beautiful, Dynamic Dashboards

No-Code Chart Builder

Powerful SQL Editor

Supported Databases

Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, and more) that has a Python DB-API driver and a SQLAlchemy dialect.

Here are some of the major database solutions that are supported:

A more comprehensive list of supported databases along with the configuration instructions can be found here.

Want to add support for your datastore or data engine? Read more here about the technical requirements.

Installation and Configuration

Extended documentation for Superset

Get Involved

Ask and answer questions on StackOverflow using the apache-superset tag
Join our community's Slack and please read our Slack Community Guidelines
Join our [email protected] Mailing list

Contributor Guide

Interested in contributing? Check out our CONTRIBUTING.md to find resources around contributing along with a detailed guide on how to set up a development environment.

Resources

Superset 2.0!

Understanding the Superset Points of View

SamKenXEcosystem's Projects

samkenxactionsrunner

Runner for GitHub Actions :rocket:

samkenxadd-to-project

Automate adding issues and pull requests to GitHub projects

samkenxai-baselines

SAMkenxAI Baselines: high-quality implementations of reinforcement learning algorithms

samkenxai-github-action

samkenxai-retro

SAMkenxAI Retro Games in Gym

samkenxai4.cpp

SAMkenxAI4 Locally run an Assistant-Tuned Chat-Style LLM

samkenxai_discord-bot

SamKenXAI Bot for our own server(and possibly future tipping)

samkenxai_gym

A toolkit for developing and comparing reinforcement learning algorithms.

samkenxai_gymnasium

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

samkenxai_mujoco-py

SAMkenXAI is a physics engine for detailed, efficient rigid body simulations with contacts. SAMKenXAI async PhoenixDOMPython 3.

samkenxai_phoenixdomhm

The SAMKenXAI Python library provides convenient access to the SAMKenXAI API from applications written in the Python language.

samkenxai_probot-twitter

A repository to compose tweets together for @SamKenXProbotTheRobot

samkenxai_procgen

SAMkenxAI Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments

samkenxai_retrieval-plugins

samkenxai_spinningup

An educational resource to help anyone learn deep reinforcement learning.

samkenxaiapis_chatbot

The project's aim is to develop a chatbot that can help people create spec documents without knowing the specification.To get started with, the bot will consume the spec, JSON schema and serves the user as an expert. So based on a set of questions and answers it will generate an AsyncApi spec document according to the use cases.