edublancas

11 ms·

61.
by edublancas 4y ago
Is querying the underlying SQL database officially supported in MLflow? Last time I used it, it wasn't documented. I took a look at the database and it wasn't end-user friendly.
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by edublancas 4y ago
Agree. Once you have a team, you need to have a service they can all interact with. This release is a first step, we want to get the user experience right for an individual and then think of how to expand that to teams. Ultimately, the two
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by edublancas 4y ago
I'm happy to collaborate with you, let's build the best experiment tracker out there! Feel free to ping me at eduardo@ploomber.io
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by edublancas 4y ago
If you need help, you can open an issue on GitHub ( https://github.com/ploomber/ploomber-engine ) or join our Slack! ( https://ploomber.io/community/ )
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by edublancas 4y ago
Fair point. MLflow has a lot of features to cover the end-to-end dev cycle. This SQLite tracker only covers the experiment tracking part. We have another project to cover the orchestration/pipelines aspect: https://github.co
66.
Who needs MLflow when you have SQLite?(ploomber.io)
252 points by edublancas 4y ago|110 comments
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Install conda in Google Colab(colab.research.google.com)
1 points by edublancas 4y ago|0 comments
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by edublancas 4y ago
> The idea is to do for ML development what Rails and Heroku did for web development. I think this is a great way to explain what you're doing. I'm working in the same space (ML/DS tooling) and I feel like we, as the ML&#x
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by edublancas 4y ago
Hi HN! We just released debuglater ( https://github.com/ploomber/debuglater ), an open-source library that serializes a Python traceback object for later debugging. You can see a quick video demo here: https:/&#x2F
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Show HN: Debuglater – Serialize Python traceback for later debugging(github.com)
5 points by edublancas 4y ago|1 comments
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Show HN: nbsnapshot – Snapshot testing for Jupyter notebooks
2 points by edublancas 4y ago|0 comments
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by edublancas 4y ago
Ploomber (W22) | Developer Advocate & Software Engineers | Full-time | Remote and NYC We're building tools to help data scientists develop and ship faster. We recently closed our seed round and are looking to assemble a small team
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by edublancas 4y ago
Hi all! This is Eduardo, Ploomber co-founder. I'm excited to show the HN community what we've been working! We'd love to get your feedback so please give it a try and let us know what you think!
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Ploomber (YC W22) Is Hiring Remote Software Engineers and DevRel(ycombinator.com)
1 points by edublancas 4y ago
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by edublancas 5y ago
This is great feedback, thanks a lot! I'll ensure we display the "extract_upstream" more prominently in the docs, we've been getting this feedback a couple times now :) Re: the Jupyter extension injects the cell when the
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by edublancas 5y ago
(ploomber maintainer here) Any feedback for us? What can we do to improve Ploomber?
77.
by edublancas 5y ago
One of my deal breakers when choosing tooling is how easy is to move from a local environment to a distributed environment. Ideally, you want to start locally and move to a distributed env if you need to. So choose one tool that allows you
78.
by edublancas 5y ago
Congrats on the launch! As a former data scientist, I suffered from bad data on a daily basis. Can you provide some details on how anomalies are detected? Is it some kind of threshold-based approach defined by the user or are you running st
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On the Myths and Problems of Jupyter Notebooks(ploomber.io)
2 points by edublancas 5y ago|1 comments
80.
by edublancas 5y ago
Congrats on the launch! As a former data scientist, it pumps me up to see more notebook-centric tooling, as I believe it is the best environment for data exploration and rapid iterations. We're working on notebook tooling as well ( htt
81.
by edublancas 5y ago
Congrats on the launch! Coming from a data science role, this could've been pretty useful for my previous projects. I had to rewrite all of my feature engineering queries when the company I worked at moved to Snowflake. One question I
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by edublancas 5y ago
Interesting, can you share a link to the docs? I'd like to learn more about their approach.
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by edublancas 5y ago
Thanks! Yes, we know Deepnote! We want to focus on pipelines and deployment so we currently integrate with Jupyter distributions (as long as they keep the standard format); we have users that run Ploomber on JupyterHub, Domino, SageMaker an
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by edublancas 5y ago
I'm not a DVC user so I'll speak for what I've seen in the documentation and the couple examples I ran a while ago. DVC's core is data versioning and the pipeline features are an extension to it. The main difference is t
85.
by edublancas 5y ago
That totally resonates with me! I spent 6 years working as a data scientist and notebooks just make it a lot simpler to explore and interact with the data, so I totally understand my data science peers for sticking with notebooks. Having sa
86.
by edublancas 5y ago
We allow people to write pipeline tasks in .py files but open them as notebooks in Jupyter. So they keep the same workflow they're used to but under the hood, they're writing .py files - so they can do code reviews (jupytext handl
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by edublancas 5y ago
Yes! We want to help people keep enjoying Jupyter and produce tidy pipelines!
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by edublancas 5y ago
We allow users to open .py files as notebooks in Jupyter, so you can get the best of both worlds: interactivity with Jupyter and nice code reviews. jupytext does the heavy lifting for us (it's a great package!) and we add some extra th
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by edublancas 5y ago
Thanks for your feedback! Do you have any stories to share? I'd love to hear about your experience with the notebooks-production gap
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Launch HN: Ploomber (YC W22) – Quickly deploy data pipelines from Jupyter/VSCode(github.com)
126 points by edublancas 5y ago|23 comments

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