heavyai/pymapd

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Rank 314,510 (Top 7 %)
Language
Python
License
Apache License 2.0
Created over 7 years ago
Updated about 3 years ago

heavyai/pymapd

heavyai

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Python client for OmniSci GPU-accelerated SQL engine and analytics platform

pymapd

A wrapper for the pyomnisci libarary http://github.com/omnisci/pyomnisci, maintained for backwards compatibility.

Existing scripts should be migrated to pyomnisci from pymapd, this library will not be updated moving forward.

Quick Install (CPU)

Packages are available on conda-forge and PyPI:

conda install -c conda-forge pymapd

pip install pymapd

Quick Install (GPU)

We recommend creating a fresh conda 3.7 or 3.8 environment when installing pymapd with GPU capabilities.

To install pymapd and cudf for GPU Dataframe support (conda-only):

conda create -n omnisci-gpu -c rapidsai -c nvidia -c conda-forge \
 -c defaults cudf=0.15 python=3.7 cudatoolkit=10.2 pymapd

heavydb

HeavyDB (formerly OmniSciDB)

heavyai-charting

Dimensional charting built to work natively with crossfilter rendered using d3.js

heavyai-connector

A JavaScript library for connecting to a OmniSci GPU database and running queries.

heavyai-tweetmap-2

Play with and instantly visualize hundreds of millions of realtime tweets, from the global level all the way down to your neighborhood.

heavyai-crossfilter

JavaScript library for exploring large multivariate datasets in the browser.

mapd3

MapD3 charts library optimized for fast interactivity

metis

Tools for massively parallel and multi-variate data exploration

jupyterlab-heavyai

HeavyAI integrations for JupyterLab

Jupyter Notebook

vega-transform-heavydb

A Vega transform for HeavyDB

rbc

Remote Backend Compiler

F1-demo

Real-time vehicle telematics analytics demo using OmniSci

mapd-draw

2d shape drawing and interaction library using an HTML canvas 2d rendering context. Basis for lasso tool in MapD Immerse.

heavyai

Python Data Science package for HeavyDB.

mapd-ml-demo

Extract, PreProcess, and Analyze big data on GPUs

Jupyter Notebook

heavyai.jl

Julia client for OmniSci GPU-accelerated SQL engine and analytics platform

omni-component

A component system for organizing Omniverse UI code inspired by React

lidar-visualization

community_datasets

Example datasets and dashboards known to work well in OmniSci

ROmniSci

R client for OmniSci GPU-accelerated relational database and visualization platform

log-scraper

Tool to extract data from the logs of OmniSciDB

omnisci-vega-mapboxgl-demo-philly-parking

Custom OmniSci app using Vega and MapboxGLJS

omnisci-ui

OmniSci UI components

heavyai-jdbc

A JDBC driver for connecting to an HeavyAI GPU database and running queries.

mapd-ml-workshop

Extract, PreProcess, and Analyze big data on CPUs

pydatanyc2018

Source materials from Randy Zwitch 'End to End Data Science Without Leaving the GPU' talk at PyData NYC 2018

Jupyter Notebook

mapd-vega-mapboxgl-demo

example of using vega spec for mapd backend rendering with mapboxgl.js

mapd-prototypes

Internal prototypes. Use at your own risk!

pymapd-examples

examples of using pymapd get information and put it into omnisci

ibis-heavyai

ibis backend for HeavyDB

sqlalchemy-heavyai

OmniSci Driver for SQLAlchemy

community-geo-demos

Jupyter Notebook

EARL2018

Code for EARL 2018 Boston demonstration by Randy Zwitch

google-analytics

Exploring Google Analytics Data with MapD

bitcoin-project

mapd-frontend-boilerplate

Frontend boilerplate for new projects / demos

heavyai-olio.py

A medley of python functions to use with HeavyDB

heavyai-rs

Rust client for OmniSci https://github.com/omnisci/omniscidb https://www.omnisci.com/

mapd-vega-openlayers

Mapd vega layer and openlayers library integration

mapd_on_azure

Installation scripts for MapD on Microsoft Azure

mapd-vega-openlayers-react

Mapd vega layer and openlayers mapping library integration with react/redux

mapd-semiotic

Demo / Investigation of using the Semiotic charting library with MapD

AICamp_demo_201807

Demo files for AICamp tutorial on GOAI/GPU DataFrame

Jupyter Notebook

odlt

OmniSci Data Library Transfer - Automated import and export of sets of OmniSci dashboards, tables, and views

heavyai-notebooks

Example Python notebooks for use with the HEAVY.AI analytics platform

Jupyter Notebook

openvisconf-workshop-2018

Materials for the MapD OpenVisConf 2018 Workshop

gbfs_kafka

A Python and Kafka dataflow for the General Bikeshare Feed Specification (GBFS)

vegaChart

Charting-Sample

This is a basic example of using the MapD charting libraries

conda-recipes

pymapd-workshop

Sample code used for explaining Pymapd API usage.

Jupyter Notebook

omnisci-converge19-workshop1

Examples and exercise for OmniSci Converge Workshop 1

geobenchmarks

Short snippets of python testing various geo-enrichment examples and timing the results

Jupyter Notebook

spire_global

Tools for ETL, Visualization and Analysis of Spire Global GRIB2 Weather Data in OmniSci

odscwebinar

Code and Slides for 'End to End GPU Analytics' webinar for ODSC

Jupyter Notebook

timeseries

Jupyter Notebook

covid19

All scripts and code related to our covid19 work

jenkins-test

mapd-qlik-extension

MapD Vega Rendering Extension for Qlik

community-demos-geo

demos of geospatial functionality created by and for the MapD community

Jupyter Notebook

embedded-immerse-tutorial

Docs + examples of how to communicate with Immerse via the external API.

mapd-sunburst-chart

Stand along example chart integrated with mapd database