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Top 23 pandas-dataframe Open-Source Projects
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ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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evidently
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
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deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
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swifter
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner (by jmcarpenter2)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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pytablewriter
pytablewriter is a Python library to write a table in various formats: AsciiDoc / CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.
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rightmove_webscraper.py
Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object
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AREkit
Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and processing large text collections with ML and for ML
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insidebarscanner
Scan every stock listed on the Nasdaq to find those with daily inside bars for trading,
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python
🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts using Libraries and Logic. These things everyone should know in their journey with programming. (by CatalystsReachOut)
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pandas-paddles
Access the parent Pandas data frame in loc[], iloc[], assign(), and others Pandas helpers
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: [P] Free open-source ML observability course: starts October 16 🚀 | /r/MachineLearning | 2023-10-15Hi everyone, I’m one of the creators of Evidently, an open-source (Apache 2.0) tool for production ML monitoring. We’ve just launched a free open course on ML observability that I wanted to share with the community.
Project mention: Detect, Defend, Prevail: Payments Fraud Detection using ML & Deepchecks | dev.to | 2024-01-13Also if you have any confusion related to it. You can directly go to their discussion section in github :
Project mention: Delta-rs – a Rust-based implementation of deltalake | news.ycombinator.com | 2024-04-08
Please file an issue at https://github.com/jupyter-incubator/sparkmagic
Numpy functionality is largely covered by https://www.gonum.org/ but for pandas I'm not sure if there is an equivalent as widely accepted. However, you might try https://github.com/rocketlaunchr/dataframe-go which I have not tried but it looks like it covers some of what you're looking for
pandas-dataframe related posts
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Cal Poly SLO Equivalent Community College Class Search
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Coding Wonderland: Contribute to YData Profiling and YData Synthetic in this Advent of Code
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[P] Free open-source ML observability course: starts October 16 🚀
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Free Open-source ML observability course
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Data exploration is not dead
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Explore your data in a single line of code
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Which preprocessing steps to improve the performance of a naive bayes classifier
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A note from our sponsor - InfluxDB
www.influxdata.com | 8 May 2024
Index
What are some of the best open-source pandas-dataframe projects? This list will help you:
Project | Stars | |
---|---|---|
1 | ydata-profiling | 12,070 |
2 | py | 6,636 |
3 | evidently | 4,664 |
4 | deepchecks | 3,373 |
5 | pandera | 3,012 |
6 | sweetviz | 2,841 |
7 | swifter | 2,468 |
8 | delta-rs | 1,833 |
9 | marketstore | 1,819 |
10 | sparkmagic | 1,286 |
11 | dataframe-go | 1,112 |
12 | pdpipe | 715 |
13 | pytablewriter | 593 |
14 | rightmove_webscraper.py | 238 |
15 | PANDAS-TUTORIAL | 158 |
16 | AREkit | 52 |
17 | pstock | 16 |
18 | insidebarscanner | 11 |
19 | python | 5 |
20 | pandas-paddles | 5 |
21 | name-roulette | 3 |
22 | Restaurant-Monitoring-System | 3 |
23 | prayer_times | 2 |
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