Reverse Dependencies of cramjam

The following projects have a declared dependency on cramjam:

• acmc — A Tool for Automating the Curation of Medical Concepts derived from Coding Lists
• aiokafka — Kafka integration with asyncio
• aliyun-sls-logger — async aliyun sls logger
• arbor-process — A package for preprocessing data in the Arboretum project.
• barman — Backup and Recovery Manager for PostgreSQL
• busrt-worker — busrt-worker is a Python-based async busrt message handle framework
• crl-datacube — Utilities for scaling geospatial analyses
• cudf-cu12 — cuDF - GPU Dataframe
• data-rentgen — Data.Rentgen REST API + Kafka consumer
• distributed-downloader — MPI-based tool for downloading images from a list of URLs in parallel.
• divyanx-aiokafka — Kafka integration with asyncio
• fastavro — Fast read/write of AVRO files
• fastparquet — Python support for Parquet file format
• flow.record — A library for defining and creating structured data (called records) that can be streamed to disk or piped to other tools that use flow.record
• llm-docstring-generator — Code to generate docstrings for Python code using GPT-4 etc.
• LongTermBiosignals — Python library for easy managing and processing of large Long-Term Biosignals.
• metamart-ingestion — Ingestion Framework for MetaMart
• midastrader — A robust backtesting and live trading engine designed for seamless strategy development and deployment. It supports user-defined strategies, multi-threaded execution, and integrations with brokers and data sources.
• openmetadata-ingestion — Ingestion Framework for OpenMetadata
• pyfsdb-parquet — Python tools to convert to and from FSDB and parquet files
• python-snappy — Python library for the snappy compression library from Google
• quant-analytics — A financial performance and risk analysis library for quantitative research and backtesting.
• simple-deployment — no summary
• starlette-cramjam — Cramjam integration for Starlette ASGI framework.
• stars-omics — A spatial transcriptomics analysis tool.
• uproot — ROOT I/O in pure Python and NumPy.