Analytics Libraries

153 Components & Libraries

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Analytics Libraries

Analytics services for Django projects

Using an analytics service with a Django project means adding Javascript tracking code to the project templates. Of course, every service has its own specific installation instructions. Furthermore, …

Command line interface used by all WakaTime text editor plugins.

Install the plugin for your IDE/editor: Each plugin either comes pre-bundled with WakaTime CLI, or downloads the latest version from GitHub for you. Each plugin also has its own log file: Useful API …

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

Redash is designed to enable anyone, regardless of the level of technical sophistication, to harness the power of data big and small. SQL users leverage Redash to explore, query, visualize, and share…

DevSecOps, ASPM, Vulnerability Management. All on one platform.

DefectDojo is maintained by: Core Moderators can help you with pull requests or feedback on dev ideas: Moderators can help you with pull requests or feedback on dev ideas:

A Python based monitoring and tracking tool for Plex Media Server.

This is free software under the GPL v3 open source license. Feel free to do with it what you wish, but any modification must be open sourced. A copy of the license is included.

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Graphistry gets used on problems like visually mapping the behavior of devices and users, investigating fraud, analyzing machine learning results, and starting in graph AI. It provides point-and-clic…

Apache Superset is a Data Visualization and Data Exploration Platform

A modern, enterprise-ready business intelligence web application. Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intellige…

Zoe: Container Analytics as a Service -- mirror of https://gitlab.eurecom.fr/zoe/main/

Zoe Analytics provides a simple way to provision any kind of data analytics applications. This repository is used for day-to-day, open source development, feel free to fork and contribute. Resources:…

Simple analytics platform for Instagram.

Simple Instagram analytics platform. Enter a username and quickly receive interesting data about the user's posting habits. Previously named InStats Built in Python, Flask, ChartJS, D3JS

a flask profiler which watches endpoint calls and tries to make some analysis.

It gives answers to these questions: In short, if you are curious about what your endpoints are doing and what requests they are receiving, give a try to flask-profiler. With flask-profiler's web int…

TM1py is a Python package that wraps the TM1 REST API in a simple to use library.

TM1py is the python package for IBM Planning Analytics (TM1). TM1py offers handy features to interact with TM1 from Python, such as without pandas with pandas TM1 11 on-premise TM1 11 on IBM cloud TM…

Pyhaystack is a module that allow python programs to connect to a haystack server project-haystack.org. Connection can be established with Niagara Platform running the nhaystack, Skyspark and Widesky. For this to work with Anaconda IPython Notebook in Windows, be sure to use "python setup.py install" using the Anaconda Command Prompt in Windows. If not, module will be installed for System path python but won't work in the environment of Anaconda IPython Notebook. You will need hszinc 1.3+ for this to work.

Browse a campus, building, floor... find VAV boxes, AHU units, etc. Then extract history data from them and get the results ready for analysis using pandas or your own database implementation. Actual…

CanvasXpress: A JavaScript Library for Data Analytics with Full Audit Trail Capabilities.

In addition to the built-in package documentation there are vignettes with more information on getting started and additional examples:

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

You should already have pip, Python, and optionally XGBoost, LightGBM, and CatBoost installed on your system (see below). Run the following command to install AlphaPy: Pyfolio is automatically instal…

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

It was last updated to a fully running version in late October, 2021. You should refer to the Jupyter Notebooks in this repository rather than the book's source code, which is badly outdated and will…

A flexible, easy to use, automation framework allowing users to integrate their capabilities and devices to cut through the repetitive, tedious tasks slowing them down. #nsacyber

This documentation is intended as a reference for app and workflow developers as well as project contributors and operators. Here you will find walkthroughs, tutorials and other useful information ab…

Python agent for AWS Lambda metrics, tracing, profiling & analytics

This package provides analytics and distributed tracing for event-driven applications running on AWS Lambda. From your project directory: Your folder structure for the function should look similar to…

Data analysis and reporting tool for quick access to custom charts and tables in Jupyter Notebooks and in the shell.

[UNMAINTAINED] Automated machine learning for analytics & production

Automated machine learning for production and analytics auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on sing…

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Text analytics can be a bit overwhelming and frustrating at times with the unstructured and noisy nature of textual data and the vast amount of information available. "Text Analytics with Python" is …

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

This repository is part of the book: "Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications" This accessible and classroom-tested textbook/reference presents an int…

DEPRECATED: Python client for the Bitmovin API, see https://github.com/bitmovin/bitmovin-api-sdk-python

To install the bitmovin client with pip, run the following command: Depending on the platform which you are using your default python version may be python2.7.As this is a python3 client (Python 3.4+…

An analytical framework for network traffic and behavioral analytics

Flare is a network analytic framework designed for data scientists, security researchers, and network professionals. Written in Python, it is designed for rapid prototyping and development of behavio…

Query-Driven Streaming Network Telemetry

My Attempt(s) In The World Of ML/DL....

Loose path: Understanding Math is pivotal. You can never be a good Machine Learning Scientistby skipping the Math. Python - Any one, both courses are equally good Algorithms Since you'll be coding a …

Diskover Community Edition - Open source file indexer, file search engine and data management and analytics powered by Elasticsearch

diskover is an open source file system indexer that uses Elasticsearch to index and manage data across heterogeneous storage systems. Using diskover, you are able to more effectively search and organ…