
DAGWorks Inc. (YC W23)
@dagworks
Building tools & services for data & AI Builders with @hamilton_os & @burr_framework We ❤️ standardization & speed; paid offerings at dagworks.io.
ID: 1541287167149821952
http://www.dagworks.io 27-06-2022 05:08:24
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201 Followers
63 Following

🎉 Excited to announce that Shreya Shankar has joined us DAGWorks Inc. (YC W23) as an advisor. Her research & what we're building with Apache Hamilton (incubating) & Apache Burr (incubating) overlaps. I'm excited to work together more closely. For more see my update: new features, docs, video etc linkedin.com/pulse/week-oct…



In Episode 22 of Generationship, Rachel Chalmers chats with Elijah Ben Izzy (elijah) of DAGWorks Inc. (YC W23) about Burr (Apache Burr (incubating)), a tool that’s revolutionizing AI workflows. Tune in! hubs.ly/Q02T9RF40


Diving into OSS is a blast and super important! Lately, I've been all about Apache Burr (incubating) for whipping up state machines and AI agents. Just dropped my first commit in the new release 🎉 Give BURR a look guys, it plays nice with any framework. AI devs, you'll love it!






Check out the latest article in my newsletter - highlights: Apache Hamilton (incubating): - async Datadog, Inc. tracer for async Hamilton - pandas polars data with_columns support Apache Burr (incubating): - Persistence configurability for parallelism. See more here: linkedin.com/pulse/week-dec… via


Tired of the deployment headaches with #LLM agents? #BentoML takes care of the heavy lifting - from REST endpoints to scaling. Great post by Thierry Jean from DAGWorks Inc. (YC W23) showing how to combine #Burr and BentoML for streamlined agent deployment! Read the blog post to learn more:

Super excited for this HOW-TO on running the Hamilton UI on SnowflakeDB : "Observability of Python Code and Application Logic with Apache Hamilton (incubating) UI on SnowflakeDB Containers" Services by Greg Przemyslaw Kantyka link.medium.com/FIwGhJqzsPb


💬Chat with your webpage cookbook is out! 💬 It uses ScrapeGraphAI to extract the webpage content, LanceDB to vector store it and retrieve the most relevant chunks and DAGWorks Inc. (YC W23) Apache Burr (incubating) to orchestrate everything 🚀 Try it out: colab.research.google.com/drive/1pbDpLKW…



📣 New blog post! Chat with your webpage with ScrapeGraphAI, Apache Burr (incubating) and LanceDB blog.dagworks.io/p/chat-with-yo… TL;DR: a great post showing the use of lightweight tools that are "orchestrated" and "observed" with Burr.

Check out the latest article in my newsletter: February Updates linkedin.com/pulse/february… via LinkedIn Apache Hamilton (incubating): - crosses 2K⭐️ - installs in Pyodide envs - mutlithreaded parallel DAG execution Apache Burr (incubating): - crosses 1.5K ⭐️ - async persister implementations - tag

Data pipelines have been around but they’re becoming increasingly crucial as organizations look to deploy AI agents. We spoke with DAGWorks Inc. (YC W23) co-founder Stefan Krawczyk to understand what teams should consider when standing up their first data pipeline. hubs.ly/Q03hSzVn0

🚀 Building your first data pipeline? Start small, but plan for growth. 🛠️ Data evolves—build for change. 🚮 Standardize early to reduce tech debt. 🔭 Prioritize observability and quality checks. In this article, DAGWorks Inc. (YC W23) co-founder Stefan Krawczyk breaks it down for you.
