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13 results for “pandas”
RankRepository7 daysStars24h gainScore
01

pandas-dev/pandas

Python#1064 overall

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

7 daysStars50.6k24h gain+15Score10.7
02

UDST/pandana

C++#9096 overall

Pandas Network Analysis by UrbanSim: fast accessibility metrics and shortest paths, using contraction hierarchies :world_map:

7 daysStars42924h gain-Score0.0
03

wdm0006/git-pandas

Python#11965 overall

A wrapper around gitpython to produce pandas dataframes for analysis

7 daysStars19224h gain-Score0.0
04

Data-Centric-AI-Community/fg-data-profiling

Python#12254 overall

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

7 daysStars13.7k24h gain-Score0.0
05

rsheftel/pandas_market_calendars

Python#13875 overall

Exchange calendars to use with pandas for trading applications

7 daysStars1k24h gain-Score0.0
06

pdpipe/pdpipe

Jupyter Notebook#14105 overall

Easy pipelines for pandas DataFrames.

7 daysStars72624h gain-Score0.0
07

SuperCowPowers/zat

Jupyter Notebook#14416 overall

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

7 daysStars45624h gain-Score0.0
08

MazzaWill/neo4j-python-pandas-py2neo-v3

Python#17638 overall

利用pandas将excel中数据抽取,以三元组形式加载到neo4j数据库中构建相关知识图谱

7 daysStars57724h gain-Score0.0
09

aws/aws-sdk-pandas

Python#18241 overall

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

7 daysStars4.1k24h gain0Score0.0
10

kaelzhang/stock-pandas

Python#20652 overall

🚀 The production-ready and incredibly-fast python library to support stock statistics and indicators, based on `pandas.DataFrame`

7 daysStars14624h gain-Score0.0
11

lance-format/lance

Rust#26442 overall

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

7 daysStars7.2k24h gain-Score0.0
12

buckaroo-data/buckaroo

Python#28504 overall

Buckaroo - The data table UI for Notebooks. Quickly explore dataframes, scroll through dataframes, search, sort, view summary stats and histograms. Works with Pandas, Polars, Jupyter, Marimo, VSCode Notebooks

7 daysStars68524h gain-Score0.0
13

xgboosted/pandas-ta-classic

Python#35158 overall

Technical Analysis Indicators - Pandas TA Classic is an easy to use Python 3 Pandas Extension with 250+ Indicators and Candlestick Patterns

7 daysStars46324h gain-Score0.0