Topic: dataops Goto Github
Some thing interesting about dataops
Some thing interesting about dataops
dataops,Cloud Native DataOps & AIOps Platform | 云原生数智运维平台
Organization: alibaba
Home Page: https://sreworks.cn
dataops, A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀
Organization: awesome-mlops
dataops,A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀
Organization: awesome-mlops
dataops,An open source development framework to help you build data workflows and modern data architecture on AWS.
Organization: awslabs
Home Page: https://awslabs.github.io/aws-ddk/
dataops,DataOps for the Modern Data Warehouse on Microsoft Azure. https://aka.ms/mdw-dataops.
Organization: azure-samples
dataops,Beneath is a serverless real-time data platform ⚡️
Organization: beneath-hq
Home Page: https://beneath.dev
dataops,📦 dim: Manage the open data in your project like a package manager.
Organization: c-3lab
dataops,The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Organization: cleanlab
Home Page: https://cleanlab.ai
dataops,Open Source Data Quality Monitoring.
Organization: datachecks
Home Page: https://datachecks.io
dataops,Installer for DataKitchen's Open Source Data Observability Products. Data breaks. Servers break. Your toolchain breaks. Ensure your team is the first to know and the first to solve with visibility across and down your data estate. Save time with simple, fast data quality test generation and execution. Trust your data, tools, and systems end to end.
Organization: datakitchen
Home Page: https://datakitchen.io
dataops,The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
Organization: elementary-data
Home Page: https://www.elementary-data.com/
dataops,Open data platform based on Kubernetes. Scaleph supports SeaTunnel、Flink and Doris backended by SeaTunnel on Flink engine、Flink Kubernetes Operator and Doris operator.
Organization: flowerfine
Home Page: https://flowerfine.github.io/scaleph-repress-site/
dataops,Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Organization: flyteorg
Home Page: https://flyte.org
dataops,Resources for video demonstrations and blog posts related to DataOps on AWS
User: garystafford
dataops,A Git-like version control file system for data lineage & data collaboration.
Organization: gitdataai
Home Page: https://gitdata.ai
dataops,End-to-end DataOps platform deployed by Terraform.
Organization: google
dataops,Unified storage framework for the entire machine learning lifecycle
Organization: google
dataops,Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner
User: jacopotagliabue
Home Page: https://towardsdatascience.com/tagged/mlops-without-much-ops
dataops,:sunglasses: A curated list of awesome DataOps tools
User: kelvins
dataops,Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
Organization: lancedb
Home Page: https://lancedb.github.io/lance/
dataops,Kafka Docker for development. Kafka, Zookeeper, Schema Registry, Kafka-Connect, Landoop Tools, 20+ connectors
Organization: lensesio
Home Page: https://lenses.io
dataops,In-deprecation. For Lenses please check lensesio/lenses-helm-charts. Soon Stream Reactor will also get its own Helm repository.
Organization: lensesio
Home Page: https://lenses.io
dataops,❤for real-time DataOps - where the application and data fabric blends - Lenses
Organization: lensesio
Home Page: https://docs.lenses.io
dataops,Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
Organization: meltano
Home Page: https://meltano.com/
dataops,A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:
Organization: merantix-momentum
Home Page: https://squirrel-core.readthedocs.io/
dataops,DataOps framework for Machine Learning projects.
User: noronha-dataops
Home Page: https://noronha-dataops.readthedocs.io/
dataops,📙 Awesome Data Catalogs and Observability Platforms.
Organization: opendatadiscovery
dataops,Power BI DevOps & Source Control Tool
Organization: pbi-tools
Home Page: https://pbi.tools/cli
dataops,Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Organization: polyaxon
dataops,Transform your pythonic research to an artifact that engineers can deploy easily.
Organization: raptor-ml
Home Page: https://raptor.ml
dataops,Dagger is an easy-to-use, configuration over code, cloud-native framework built on top of Apache Flink for stateful processing of real-time streaming data.
Organization: raystack
Home Page: https://raystack.github.io/dagger/
dataops,Firehose is an extensible, no-code, and cloud-native service to load real-time streaming data from Kafka to data stores, data lakes, and analytical storage systems.
Organization: raystack
Home Page: https://raystack.github.io/firehose/
dataops,Frontier is an all-in-one user management platform that provides identity, access and billing management to help organizations secure their systems and data. (Open source alternative to Clerk)
Organization: raystack
Home Page: https://raystack-frontier.vercel.app/
dataops,Guardian is universal data access management tool with automated access workflows and security controls across data stores, analytical systems, and cloud products.
Organization: raystack
Home Page: https://guardian.vercel.app/
dataops,Meteor is an easy-to-use, plugin-driven metadata collection framework to extract data from different sources and sink to any data catalog.
Organization: raystack
Home Page: https://raystack.github.io/meteor/
dataops,Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
Organization: raystack
Home Page: https://raystack.github.io/optimus
dataops,Raccoon is a high-throughput, low-latency service to collect events in real-time from your web, mobile apps, and services using multiple network protocols.
Organization: raystack
Home Page: https://raystack.github.io/raccoon/
dataops,Siren provides an easy-to-use universal alert, notification, channels management framework for the entire observability infrastructure.
Organization: raystack
Home Page: https://odpf.github.io/siren/
dataops,Stencil is a schema registry that provides schema management and validation dynamically, efficiently, and reliably to ensure data compatibility across applications.
Organization: raystack
Home Page: https://raystack.github.io/stencil/
dataops,Redpanda Console is a developer-friendly UI for managing your Kafka/Redpanda workloads. Console gives you a simple, interactive approach for gaining visibility into your topics, masking data, managing consumer groups, and exploring real-time data with time-travel debugging.
Organization: redpanda-data
Home Page: https://redpanda.com
dataops,Interactive computing for complex data processing, modeling and analysis in Python 3
User: sernst
Home Page: http://www.unnotebook.com
dataops,A list of tools for annotating data, managing annotations, etc.
User: taivop
Home Page: https://github.com/taivop/awesome-data-annotation
dataops,Tenzir is the data pipeline engine for security teams.
Organization: tenzir
Home Page: https://docs.tenzir.com
dataops,Titan Core - Snowflake infrastructure-as-code. Provision environments, automate deploys, CI/CD. Manage RBAC, users, roles, and data access. Declarative Python Resource API. Change Management tool for the Snowflake data warehouse.
Organization: titan-systems
dataops,Efficient data transformation and modeling framework that is backwards compatible with dbt.
Organization: tobikodata
Home Page: https://sqlmesh.com
dataops,One framework to develop, deploy and operate data workflows with Python and SQL.
Organization: vmware
dataops,An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
Organization: whylabs
Home Page: https://whylogs.readthedocs.io/
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.