12 best Python Analytics libraries in 2024
by marketing.admin@openweaver.com Updated: Feb 3, 2023
Guide Kit
Python is a general-purpose programming language that can be used on any modern computer operating system. It has a comprehensive, flexible ecosystem of tools, libraries and community resources. Python has become a vital tool for analytics and data science and it has a huge ecosystem of tools that can be used for all kinds of data mining, analysis, visualization, machine learning. In the age of Big Data, analyzing and visualizing data has become a very common task, which has promoted the development of various tools. Python libraries are a set of functions and methods that allow to carry out numerous actions without writing the code. A few of the most popular Python Analytics open source libraries for developers are: dash - Analytical Web Apps; dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that softwa; shynet - detailed web analytics that works without cookies.
dashby plotly
Data Apps & Dashboards for Python. No JavaScript Required.
dashby plotly
Python 18829 Version:v2.10.2 License: Permissive (MIT)
dbt-coreby dbt-labs
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
dbt-coreby dbt-labs
Python 7125 Version:v1.6.0b4 License: Permissive (Apache-2.0)
dbtby dbt-labs
dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
dbtby dbt-labs
Python 3433 Version:v0.20.2rc2 License: Permissive (Apache-2.0)
shynetby milesmcc
Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
shynetby milesmcc
Python 2414 Version:v0.12.0 License: Permissive (Apache-2.0)
rotkiby rotki
A portfolio tracking, analytics, accounting and tax reporting application that protects your privacy
rotkiby rotki
Python 2186 Version:v1.28.0 License: Strong Copyleft (AGPL-3.0)
django-analyticalby jazzband
Analytics services for Django projects
django-analyticalby jazzband
Python 1086 Version:Current License: Permissive (MIT)
kube-opex-analyticsby rchakode
🎨 Kubernetes Usage Analytics and Accounting for Cost Allocation and Capacity Planning - Hourly Trends, Daily and Monthly Accounting - Prometheus Exporter - Built-in & Grafana Dashboards.
kube-opex-analyticsby rchakode
Python 428 Version:v22.12.1 License: Permissive (Apache-2.0)
google-analytics-super-proxyby googleanalytics
Publicly share your Google Analytics reporting data.
google-analytics-super-proxyby googleanalytics
Python 201 Version:Current License: Others (Non-SPDX)
matomo-log-analyticsby matomo-org
Import any kind of server logs in Matomo for powerful log analytics. Universal log file parsing and reporting.
matomo-log-analyticsby matomo-org
Python 200 Version:Current License: Strong Copyleft (GPL-3.0)
django-google-analyticsby clintecker
A simple django application to using Google Analytics in your project and tying different GA tags to different sites
django-google-analyticsby clintecker
Python 170 Version:Current License: Permissive (MIT)
voice-powered-analyticsby awslabs
Workshop to build voice enabled integration with data analytics
voice-powered-analyticsby awslabs
Python 110 Version:Current License: Others (Non-SPDX)
universal-analytics-pythonby adswerve
Universal Analytics Python module
universal-analytics-pythonby adswerve
Python 101 Version:Current License: Permissive (BSD-3-Clause)