Reverse Dependencies of adlfs

The following projects have a declared dependency on adlfs:

• 3lc — 3LC Python Package - A tool for model-guided, interactive data debugging and enhancements
• acb — Default template for PDM package
• adapta — Logging, data connectors, monitoring, secret handling and general lifehacks to make data people lives easier.
• aligned — A data managment and lineage tool for ML applications.
• apache-airflow-providers-microsoft-azure — Provider package apache-airflow-providers-microsoft-azure for Apache Airflow
• azure-datalake-utils — Utilidades para interactuar con Azure Datalake.
• bmsdna-lakeapi — no summary
• bytehub — ByteHub Timeseries Feature Store
• cleanvision — Find issues in image datasets
• cmip6-downscaling — Climate downscaling using cmip6 data
• datachain — Wrangle unstructured AI data at scale
• dean-utils — various utils, functions, patches that I like
• delta-lake-reader — Lightweight wrapper for reading Delta tables without Spark
• delta-sharing — Python Connector for Delta Sharing
• delta-sharing-custom — Python Connector for Delta Sharing
• Djaizz — Artificial Intelligence (AI) in Django Applications
• dlt — dlt is an open-source python-first scalable data loading library that does not require any backend to run.
• dlt-dataops — dlt is an open-source python-first scalable data loading library that does not require any backend to run.
• dql-alpha — DQL
• dslibrary — Data Science Framework & Abstractions
• dvc-azure — azure plugin for dvc
• dvcx — DVCx
• Feast — Python SDK for Feast
• flex-dtk — Handy tools for datalake access
• flowbyte — ETL tool for data processing
• flytekit — Flyte SDK for Python
• fondant — Fondant - Large-scale data processing made easy and reusable
• fsspec — File-system specification
• fw-dataset — A library for working with Flywheel datasets
• gqlalchemy — GQLAlchemy is a library developed to assist with writing and running queries in Memgraph.
• gqlalchemy-tailor — GQLAlchemy is a library developed to assist with writing and running queries in Memgraph. Upgraded networkx to 3.1.0.
• haupt — Lineage metadata API, artifacts streams, sandbox, ML-API, and spaces for Polyaxon.
• hipscat — Hierarchical Progressive Survey Catalog
• hydrotools.nwm-client — Retrieve National Water Model data from various sources.
• hydrotools.nwm-client-new — Retrieve National Water Model data from various sources.
• idg-metadata-client — Ingestion Framework for OpenMetadata
• ingestion — Ingestão de dados
• intake-informaticslab — Intake catalogues and associated drivers providing access to hundreds of terabytes of Met Office data.
• jouissance — jouissance
• juftin-scripts — Helpful Python scripts by @juftin
• kedro-azureml — Kedro plugin with Azure ML Pipelines support
• kedro-datasets — Kedro-Datasets is where you can find all of Kedro's data connectors.
• kedro-viz — Kedro-Viz helps visualise Kedro data and analytics pipelines
• kukur — Kukur makes time series data and metadata available to the Apache Arrow ecosystem.
• manifestly — Manifestly is a Python package designed to generate a manifest of a directory's contents, capturing file paths and their corresponding hashes. This allows for precise synchronization between two directories based on their content, ensuring that only files with differences in content are synchronized. This package provides a reliable solution for tracking and managing file changes efficiently.
• met-office-datasets — DESCRIPTION
• metamart-ingestion — Ingestion Framework for MetaMart
• mk-feature-store — Python SDK for Feast
• mlem — Version and deploy your models following GitOps principles
• mlrun — Tracking and config of machine learning runs
• mogreps-uk-dataset — DESCRIPTION
• mostlyai — Synthetic Data SDK
• multidimio — Cloud-native, scalable, and user-friendly multi dimensional energy data!
• nbdev-squ — Python SIEM Query Utils nbdev edition
• neurosis — A neural network trainer (for weebs)
• oasis-data-manager — no summary
• odbc2deltalake — no summary
• openmetadata-ingestion — Ingestion Framework for OpenMetadata
• openssa — OpenSSA: Small Specialist Agents for Industrial AI
• openssa-dev — OpenSSA - 'Small Specialist Agents' for Industrial AI
• openssm-dev — OpenSSM - 'Small Specialist Models' for Industrial AI
• overturemapsdownloader — Overture Maps Downloader simplifies geospatial data manipulation
• palisades — 🧑🏽‍🚒 Post-Disaster Land Cover Classification.
• papai-unified-storage — Supercharged fsspec filesystem classes with higher-level functions and utilitarians.
• pfeed — Data pipeline for algo-trading, getting and storing both real-time and historical data made easy.
• pins — Publish data sets, models, and other python objects, making it easy to share them across projects and with your colleagues.
• planetary-computer — Planetary Computer SDK for Python
• polyaxon — Command Line Interface (CLI) and client to interact with Polyaxon API.
• polyaxon-deploy — Polyaxon deployment and serving tools: streams, sandbox, ML-API, and spaces.
• projetaai-azure — Enables Azure services integration with ProjetaAi/Kedro
• pulseel — Projeto focado em criar scripts de extracão de dados de diversos tipos de sistemas externos e efetuar
• pyeqx — no summary
• pyeqx-core — no summary
• pyfusion — JPMC Fusion Developer Tools
• pyiceberg — Apache Iceberg is an open table format for huge analytic datasets
• pyiris-iceberg — IRIS Iceberg library
• pytest-servers — pytest servers
• qbeast-sharing — Python Connector for Delta Sharing
• quetz-server — The mamba-org server for conda packages
• recsys-wizos — no summary
• ruigi — Manage your pipelines easily.
• segy — The Ultimate Python SEG-Y I/O with Cloud Support and Schemas
• shapelets-platform — Data Scientist platform
• spark-rapids-user-tools — A simple wrapper process around cloud service providers to run tools for the RAPIDS Accelerator for Apache Spark.
• squirrel-core — Squirrel is a Python library that enables ML teams to share, load, and transform data in a collaborative, flexible and efficient way.
• stac-geoparquet — no summary
• target-azure-storage — `target-azure-storage` is a Singer target for Azure Storage, built with the Meltano SDK for Singer Targets.
• textual-universal-directorytree — A Textual Directory Tree for all File Systems
• tracdap-runtime — Runtime package for building models on the TRAC Data & Analytics Platform
• universal_pathlib — pathlib api extended to use fsspec backends
• unstract-sdk — A framework for writing Unstract Tools/Apps
• unstructured-cpu — A library that prepares raw documents for downstream ML tasks.
• unstructured-ingest — A library that prepares raw documents for downstream ML tasks.
• viadot2 — A simple data ingestion library to guide data flows from some places to other places.
• xbatcher — Batch generation from Xarray objects
• xorbits — Scalable Python data science, in an API compatible & lightning fast way.
• ydata-sdk — YData allows to use the *Data-Centric* tools from the YData ecosystem to accelerate AI development
• zarrtraj — This is a kit that provides the ability to read and write trajectory data in the Zarr file format
• zen3geo — The 🌏 data science library you've been waiting for~
• zenml — ZenML: Write production-ready ML code.