Lotus
lotus-data
Optimized LLM-Powered Data Processing: up to 1000x speedups with fast, accurate query processing, that's as simple as writing Pandas code
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Results: 79
lotus-data
Optimized LLM-Powered Data Processing: up to 1000x speedups with fast, accurate query processing, that's as simple as writing Pandas code
fugue-project
A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
rob-med
List of tools & datasets for anomaly detection on time-series data.
mars-project
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
chezou
Simple wrapper of tabula-java: extract table from PDF into pandas DataFrame
predict-idlab
Visualize large time series data with plotly.py
machow
Python library for using dplyr like syntax with pandas and SQL
timescale
A time-series database for high-performance real-time analytics packaged as a Postgres extension
Data-Centric-AI-Community
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
donnemartin
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumP…
leeoniya
📈 A small, fast chart for time series, lines, areas, ohlc & bars
OpenSenseNova
对时间序列或分类数据进行多维度趋势分析、百分比清洗、绩效分级建模与预测,并生成高分辨率的可视化综合报告,适用于业务指标监控与预测场景。
rsvp
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing…
lance-format
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…
tangyudi
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathema…
StructuredLabs
Preswald is a WASM packager for Python-based interactive data apps: bundle full complex data workflows, particularly visualizations, into single files, runnable complete…
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