Reverse Dependencies of fsspec

The following projects have a declared dependency on fsspec:

• ingestr — ingestr is a command-line application that ingests data from various sources and stores them in any database.
• input4mips-validation — Validation of input4MIPs data (checking file formats, metadata etc.).
• inspect-ai — Framework for large language model evaluations
• intake — Data catalog, search and load
• intake-esm — An intake plugin for parsing an Earth System Model (ESM) catalog and loading netCDF files and/or Zarr stores into Xarray datasets.
• intake-sqlite — An Intake driver to access local or remote SQLite databases by URL.
• intake-stac — An intake adapter for building intake catalogs begining with SpatioTemporal Asset Catalogs (STAC)
• intake-thredds — Intake interface to THREDDS data catalogs.
• intake-xarray — xarray plugins for Intake
• intellikit — A python toolkit for case based reasoning, information retrieval, natural language processing and other techniques for AI and intelligent systems.
• interval-git — Top-level package for igit.
• iotools-wrappers — Provides a unified syntax for reading and writing data to files
• ipfs-stac — The EASIER Data Initiative Python IPFS-STAC Client
• ipfspy — A python library by Algovera to interact with IPFS and IPFS ecosystem such as the common pinning services
• ipfsspec — readonly implementation of fsspec for IPFS
• iqradre — no summary
• irods-fsspec — no summary
• iron-toolbox — Functions to be used by Iron Data Analytics Team
• isyntax2raw — iSyntax to raw format converter
• jaankoppe-llama-index — Interface between LLMs and your data, added UniversalFilter for MetadataFilters
• Jems-Video — Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts.
• jinjarope — Jinja2 utilities, loaders & fsspec integration.
• JLpyUtils — General utilities to streamline data science and machine learning routines in python
• jouissance — jouissance
• jr-connection — A simple python package to connect to JR servers and get the data
• jrvc — Libraries for RVC inference
• jsonargparse — Implement minimal boilerplate CLIs derived from type hints and parse from command line, config files and environment variables.
• juftin-scripts — Helpful Python scripts by @juftin
• juju-doctor — Juju-doctor is a pypi package which helps validate Juju deployments using probes.
• jupyter-drives — A Jupyter extension to support drives in the backend.
• jupyter-fsspec — A Jupyter interface for fsspec.
• jupyter-scheduler — A JupyterLab extension for running notebook jobs
• jupyterlab-bxplorer — This is a JupyterLab extension that allows users to explore and interact with cloud storage services.
• JupyterReviewer — A general tool to create dashboards for manual review
• kaen — kaen is a friendly open source toolkit to help you train and deploy PyTorch deep learning models in public clouds
• kanao — Kanao is a project designed to train a GPT (Generative Pre-trained Transformer) model on custom datasets. It provides the capability to train the model using various data sources, including PDFs, Word documents, plain text files, and URLs.
• kbve — ATLAS
• kedro — Kedro helps you build production-ready data and analytics pipelines
• kedro-kubeflow — Kedro plugin with Kubeflow Pipelines support
• kedro-vertexai — Kedro plugin with GCP Vertex AI support
• kedro-viz — Kedro-Viz helps visualise Kedro data and analytics pipelines
• kense_r2r — SciPhi R2R
• kensu — no summary
• kensu-pyspark — no summary
• kerchunk — Functions to make reference descriptions for ReferenceFileSystem
• keywordsai-eval — An evaluation package for LLM input output
• kglab — A simple abstraction layer in Python for building knowledge graphs
• kscope — A user toolkit for analyzing and interfacing with Large Language Models (LLMs)
• kwcoco-dataloader — The kwcoco_dataloader module
• lakefs-playground-utils — lakeFS Playground Utilities
• lakefs-spec — An fsspec implementation for lakeFS.
• lamindb — A data framework for biology.
• langtrace-python-sdk — Python SDK for LangTrace
• latentscope — Quickly embed, project, cluster and explore a dataset.
• lazycls — Python Utilities for the Super Lazy
• lazyscribe — Lightweight and lazy experiment logging
• ldb-alpha — A command line tool for data-centric science and machine learning projects
• levanter — Scalable Training for Foundation Models with Named Tensors and JAX
• levseq — no summary
• leya — A coding assistant to help with repository management and code queries.
• libvisualwebarena — This is an unofficial, use-at-your-own risks port of the visualwebarena benchmark, for use as a standalone library package.
• lidar-cmn — Python package che consente il download dei dati LiDAR di Città Metropolitana di Napoli
• liga — no summary
• ligavision-dsl — no summary
• lighteval — A lightweight and configurable evaluation package
• Lightning — The Deep Learning framework to train, deploy, and ship AI products Lightning fast.
• lightning-app — Use Lightning Apps to build everything from production-ready, multi-cloud ML systems to simple research demos.
• lightning-fabric — no summary
• lightning-flash — Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes.
• lightning-lite — no summary
• lilac — Organize unstructured data
• lincbrain-cli — Command line client for interaction with LINC Brain archive elements
• lineapy — Data engineering, simplified. LineaPy creates a frictionless path for taking your data science artifact from development to production.
• livestt — Simple and easy to use realtime speech to text
• ljdv384ytwg7w3y — AI software engineer
• llama-index-collection — A streamlined collection of essential LlamaIndex packages for lightweight and efficient usage.
• llama-index-core — Interface between LLMs and your data
• llama-index-g — Interface between LLMs and your data
• llama-index-legacy — Interface between LLMs and your data
• llm-docstring-generator — Code to generate docstrings for Python code using GPT-4 etc.
• llm-foundry — LLM Foundry
• llm-multiprovider — LLM API for multiple model providers
• LLM-PCT — A package for taking and scoring the PCT
• llmchatbot — LLM-based Chatbot
• llmcode-chat — Llmcode is AI pair programming in your terminal
• LlmEmbeddingXrVizualization — A package for visualizing embeddings spaces from Hugging Face models
• llmeter — A lightweight, cross-platform latency and throughput profiler for LLMs
• llmling — A backend for pydantic-AI agents and MCP servers.
• llmvm-cli — Command Line LLM with client-side tools support.
• lls-core — Core functionality for analysing and visualizing lattice lightsheet and Oblique Plane Microscopy data.
• lmfunctions — Python functions backed by language models
• lndb_setup — LaminDB setup.
• lndb_storage — Storage → object.
• loadit — Easily convert iterables over large datasets into random access.
• LongTermBiosignals — Python library for easy managing and processing of large Long-Term Biosignals.
• LorenzCycleToolkit — no summary
• lost-ds — Lost Dataset library
• lp-Aicloud — this a aicloud
• lpw — Using Local Packet Whisperer (LPW, Chat with PCAP/PCAPNG files locally, privately!
• lsdb — Spatial analysis for extremely large astronomical databases using dask