Alternatives
Products that do what CI/CD for time series data (by Marple) does
Hi HN! I'm Nero, founder of a Belgian startup called Marple (marpledata.com). We make software for engineers to analyse time series data. Think about data from physical systems like cars, airplanes, drones, ... and smaller subsystems. We see that lot of engineers start by doing sanity checks on their data. These are quite simple - but take quite some time. That's why we starting thinking about building CI/CD for time series data. The current version is quite MVP, but is mostly bug-free. We're gathering feedback from people before we expand functionality. So let me know how it works for…
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Hi HN, excited to share the project I have been working on for the past two years. Marple was created by engineers for engineers. Marple helps them organize and analyze their sensor data in a more user-friendly way. We’ve all been there: measurement data from an experiment or test needs to be analyzed but the only thing you have is a few data files flying around. You do not have a clue how to open or read the data. So what you do next is open your Python/Matlab/Jupyter Notebook/… and start coding in order to make some sense of the data. We didn’t like that process, so we…
2022 · marpledata.com
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2019 · empirical-soft.com
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I've been tired with the current options on the market for awhile and decided to do something about it after the running into the disaster that is MLOps at my last two startups and having to manage a multiple operation platforms both for my fellow ML engineers, the general application CI/CD and orchestration layers while simultaneously building the application itself. Its still extremely early for the product but its functioning and is well on its way. I'd love feedback on the approach and peoples thoughts on the problem space. Personally my irritations have been in the poor tooling,…
2025 · egdaemon.com
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Hi HN! My name is Marko and I am working on a CI/CD system at harmont.dev, a CI/CD system that sucks slightly less. As I've been working on the cloud, I realized that the CLI might be generally useful as a task runner, even if you don't care for our CI/CD, and that's what I'm sharing here! Every CI system I've used at Tesla, Bun, and mesa.dev has had the same problems: stateless and slow (GHA), or stateful and horizontally unscalable (Jenkins), with YAML on top of either. The straw that broke the camel's back for me was the realization that all my Claudes are waiting upwards…
May 2026 · github.com
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Hi HN! We’re Clemens and Felix from Cito - thrilled to show you what we’ve built to help data engineers stay on top of data quality issues. Think Datadog meets Incident.io. Tests in dbt are great when checking whether specific expectations are true, but don’t work well for use cases where data patterns may change over time. When relying on testing alone, data teams regularly face situations where business stakeholders identify data issues in dashboards first, eroding trust. In such situations, understanding the implications of an issue and debugging can be a very manual and time-consuming…
2022 · citodata.com
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Hey HN – Stefan and Elijah here from DAGWorks (http://dagworks.io/, YC W23). If you don’t remember us from our previous HN launch (https://news.ycombinator.com/item?id=35056903), we’re the authors of Hamilton (https://github.com/dagworks-inc/hamilton), an open-source library for building self-documenting, modular dataflows in python that works for data, ML, LLM pipelines, & even web-workflows. We’ve been developing this UI for a while and we’re excited to say we open-sourced it! It comes out of the box with the following capabilities, and…
2024 · github.com
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We’ve built a Python SDK for running inference on foundation models designed for time-series and tabular data. They are new SOTA models for time-series and tabular tasks and work out of the box. They do not require model training or feature engineering. The link to the GitHub repository is: https://github.com/S-FM/faim-python-client
Dec 2025 · github.com
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At RedisLabs, we've just released the first release candidate of RedisTimeSeries - a time series data structure for Redis. We would love to get your feedback! https://github.com/RedisTimeSeries/RedisTimeSeries/releases/...
2019
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Hey HN, I built Pace, a Claude Connector that lets you connect all your wearables (Garmin, Polar, Whoop, 20+) with Claude. You connect your devices once and can analyze your data with Claude. No Dashboard needed, just in natural language. I already use it everyday, especially the visualization tool in Claude makes this really cool to use. Tools include: overview, sleep, training, activity, samples and trends. Tech Stack: Python (FastMCP), Google Cloud Run, Google Cloud SQL (PostgreSQL) and Firebase It is live and free to try (no Claude Pro/MAX Plan needed).. Would love feedback,…
Apr 2026 · pacetraining.co
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Hi HN, https://companies.bx.tc My colleague and I put together this tool for easily searching UK company data. We run a few server side batches daily to extract data from various government sources before linking it all together in (what is now) a fairly large database. We're also using this project as a way to test out a new JS UI library we built (similar to Vue, but a bit faster) to see how it stands up in a real project. We'd love to hear your feedback and any ideas you have for how we can improve the dashboard! Thanks :)
2020
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A bunch of companies that I spoke to had their own claude & codex OTel dashboards that showed spend + seats per month. However, none of the dashboards actually analyzed how the engineers worked with the tools and if there were any areas for improvement! That's why I created https://www.promptster.ai. Managers get aggregate level view of code quality and how that ties with team workflows (nothing on a per-engineer level). While engineers get personalized coaching on how they can save tokens while keeping output high. We also have a tool built for individuals to test their local…
Jul 2026
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