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Orchest 2.0 — Build data pipelines, the easy way
Orchest lets you code, run and monitor data pipelines all from your browser. It's an Airflow alternative that's easier to use. Instead of wasting time configuring cloud infrastructure, simply hit the schedule button in Orchest and get to production 10X faster.
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Pete Soderling
Awesome to see how far you've taken the product since our very first chat over coffee in SF in early (pre-pandemic) 2020. Congrats guys!
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@petesoder I remember that coffee! Right next to Yerba Buena at The Grove. Feels like yesterday, man time flies 😂. Thanks for your continued support Pete! We wouldn't be here without you.
Great work, champs! Super cool to keep following you on the Orchest journey 🤩
This looks quite interesting! I am a Data Scientist at a large energy utility company in The Netherlands, although we use the cloud 99% of the time, I do like to experiment with this locally, can I also run it on my laptop?
@cavriends absolutely! Many users have to for data security reasons. We support Linux, macOS and Windows. See instructions for local installation here: https://docs.orchest.io/en/stabl...
Awesome to see this unlock data scientists, data analysts, and even product/business analysts to build data pipelines with an open source community!
Hello Product Hunt!
We're excited to share Orchest 2.0 with you today: our modern take on building data pipelines. Over the past year we've learned a ton from our early user community and oh boy did we listen to your feedback!
Building data pipelines shouldn't require a PhD or 10+ years of DevOps experience. Our goal is to bring Data Scientists and Data Analysts into the fold by making the complex parts of building and deploying data pipelines in production... disappear 🪄
Orchest brings together best-in-class Open Source projects like JupyterLab, nbconvert, Argo, BuildKit, Kubernetes to provide a seamless data pipeline development *and* deployment experience. The best part is - Orchest itself is open source too! Whether you're ETL/ELT-ing, training models, feeding dashboards, monitoring systems, querying databases or fetching from web APIs - you can get it done in Orchest fast & easily.
Development 🛠️
✅ Graphical pipeline editor
✅ Integrated Scripting & Notebook IDE
✅ Fully integrated with your Git version control system
✅ Text editor, REPL and interactive Bash Shell
✅ Multiple users
✅ Code in Python, R, Julia, JavaScript and Bash.
✅ All this in your browser 🤯
Deployment 🚀
✅ Schedule cron jobs with a single click
✅ Automatic multi-node/cluster scaling
✅ Fully integrated logging
✅ Failure notifications (Webhook)
✅ Container image building & versioning
Try out our free hosted version on cloud.orchest.io (up and running without creditcard under 1 minute) or install the Open Source project directly from GitHub. You can build anything.
Thank you from the entire Orchest team - a fully distributed team with nationalities from across the globe 🌍🇳🇱🇩🇪🇮🇹🇺🇸🇸🇪🇬🇧🇹🇼🇮🇷🇪🇸.
@ricklamers been a while since we talked when I was still at speedinvest. But funny that I got the notification in my emails that you launched an v2.
Got my support!
@dominik_lambersy Great to see you here! TextCortex looks amazing 😮. Really love the minimalism on your webpage, added the extension to Brave and will give it a try for a while!
Congratulations on the launch, team!! It looks awesome, and I will definitely give it a shot!
@chilipote that means a lot to us Allan! We hope it brings all your data dreams come true 👏
Love the new UI and especially new features. What else is in the pipeline for the MLOps solution?
@kingabzpro thanks Abid! Glad you like the new UI. Which MLOps feature would you like to see added the most?
Some of the things we're thinking about making easier: drift detection, model management/registry and endpoint deployment. Our current thinking is to work together with best in class open source projects (Evidently, MLflow, BentoML/FastAPI) to make this a smooth experience in Orchest.
Awesome launch @ricklamers @yannick_perrenet – congrats! Game changing for data scientists
amazing team and great product! Congrats for the launch @ricklamers, @yannick_perrenet & team
Looks awesome @ricklamers and team. Will definitely use this on my next project! :)
@johannes_hoetter join our Slack and we’ll help you make it a big success!
@rgmvisser it's true! Check the source code: https://github.com/orchest/orchest
(OK I'll admit, we might be a little biased here...)
