Alternatives
Products that do what tseda does
Understand what is in your time series data
- 1MMapipedia▲61
A web platform I've written to make it easy for people to share goespatial time series data and display it on animated heatmaps. There's also a social media component that allows you to write comments, follow, share and like data sets that you want to engage with. You can also download the CSV data and embed animations into your own websites. People uploading datasets can also choose to make money by accepting donations. Please check out the home page for more details: https://mapipedia.com Here are some samples of things created with the platform (press the play button to start…
2019
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Source-backed technographics with an API and MCP server.
Feb 2026 · predictleads.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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This little project came about because I kept running into the same problem: cleanly differentiating sensor data before doing analysis. There are a ton of ways to solve this problem, I've always personally been a fan of using kalman filters for the job as its easy to get the double whammy of resampling/upsampling to a fixed consistent rate and also smoothing/outlier rejection. I wrote a little numpy only bayesian filtering/smoothing library recently (https://github.com/hugohadfield/bayesfilter/) so this felt like a fun and very useful first thing to…
2024 · github.com
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2021 · synchrocharts.com
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2019 · github.com
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Built this dashboard to visualize cannabis sales in real time across North America during 4/20. The data updates live from thousands of dispensary POS transactions as the day unfolds. Under the hood, we’re using Estuary for data streaming and Tinybird to power super fast analytical queries. The charts are made in Tremor and the map is D3.
2025 · 420.headset.io
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2019 · timedoor.xyz
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2019 · github.com
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2017 · github.com
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I’m a long-time time series nerd, I’ve worked with InfluxDB, TimescaleDB, ClickHouse, and more, across everything from monitoring fleets to tracking medical devices. But recently, I started exploring RedisTimeSeries again… and I was surprised by how much the Redis Stack has evolved. Between RedisTimeSeries, RedisJSON, RediSearch, and Streams, I realized: this could actually be the backbone for a full observability stack. So I built rtcollector, a modular, Redis-native observability agent. It’s written in Python, configured with YAML, and designed to push system, container, and database…
2025 · github.com
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