From 5afb2df5d43ef53879d37057c9b46835c0b1ec7f Mon Sep 17 00:00:00 2001 From: Amin Date: Sat, 22 Oct 2022 23:52:21 +0000 Subject: [PATCH] add open prs #134, #133, #132, #131, #130, #129, #128, #127 --- README.md | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index ce1053b..ba76c39 100644 --- a/README.md +++ b/README.md @@ -18,7 +18,8 @@ List of content 10. [Docker](#docker) 11. [Datasets](#datasets) 12. [Monitoring](#monitoring) -13. [Community](#community) +13. [No Code](#no-code) +14. [Community](#community) # Databases - Relational @@ -208,6 +209,13 @@ multi-processor, multi-core machines * [Census](https://getcensus.com/) is a reverse-ETL tool that let you sync data from your cloud data warehouse to SaaS applications like Salesforce, Marketo, HubSpot, Zendesk, etc. No engineering favors required—just SQL. * [dbt](https://getdbt.com/) is a command line tool that enables data analysts and engineers to transform data in their warehouses more effectively. * [Kedro](https://kedro.org) is a framework for creating reproducible, maintainable and modular Python data science workflows. +* [Prefect 2.0](https://www.prefect.io) is a second-generation dataflow coordination and orchestration platform. +* [Metaflow](https://metaflow.org) is a human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects. +* [Kale](https://github.com/kubeflow-kale/kale) aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows. +* [Flyte](https://github.com/flyteorg/flyte) is a Kubernetes-native workflow automation platform with support for Python, Java and Scala. +* [Elyra](https://github.com/elyra-ai/elyra) extends JupyterLab with workflow functionality. +* [LineaPy](https://github.com/LineaLabs/lineapy) transforms messy development scripts/notebooks to production-ready pipelines with two lines of code. + # Data Lake Management * [lakeFS](https://github.com/treeverse/lakeFS) lakeFS is an open source platform that delivers resilience and manageability to object-storage based data lakes. @@ -248,6 +256,10 @@ multi-processor, multi-core machines * [Prometheus.io](https://github.com/prometheus/prometheus) An open-source service monitoring system and time series database * [HAProxy Exporter](https://github.com/prometheus/haproxy_exporter) Simple server that scrapes HAProxy stats and exports them via HTTP for Prometheus consumption + +# No Code +* [QuickTable](https://www.quicktable.io/) - Empowers everyone to access, clean, transform, and analyze data on databases, datalakes and warehouses with no code. + # Community ## Forums