Dev tools · alternatives · 2026
24 alternatives to A Go implementation of TensorFlow's streaming quantiles estimator
Optimal Quantile Approximation in Streams. Contribute to axiomhq/quantiles development by creating an account on GitHub.
This is a Go library that implements TensorFlow's streaming quantiles estimator, allowing developers to calculate statistical quantiles from data streams without storing all values in memory. It's designed for… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. A Go implementation of TensorFlow's streaming quantiles estimator launched in 2018; newer entries below may have overtaken it.
- 1
TensorFlow 1.0▲823Open-source machine learning library by Google
2017 · tensorflow.org · its alternatives →
- 2
High-performance TensorFlow library for quantitative finance. - google/tf-quant-finance
2021 · github.com · its alternatives →
- 3
Accelerating open machine learning research with Cloud TPUs
2017 · sites.research.google · its alternatives →
- 4
:satellite: Simple and ready-to-use tutorials for TensorFlow - GitHub - instillai/TensorFlow-Course: :satellite: Simple and ready-to-use tutorials for TensorFlow
2018 · github.com · its alternatives →
- 5
TensorZero▲307Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…
2025 · github.com · its alternatives →
- 6
Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
- 7
Blazing fast, composable, Pythonic quantile filters. - marmarelis/rolling-quantiles
2021 · github.com · its alternatives →
- 8
Cuckoo Filter implementation in Go, better than Bloom Filters (unmaintained) - irfansharif/cfilter
2016 · github.com · its alternatives →
- 9
A Python stream processing engine modeled after Yahoo! Pipes - nerevu/riko
2016 · github.com · its alternatives →
- 10
Goka is a compact yet powerful distributed stream processing library for Apache Kafka written in Go. - lovoo/goka
2017 · github.com · its alternatives →
- 11
TensorFlow Lite▲163Low-latency inference of on-device ML models
2017 · developers.google.com · its alternatives →
- 12
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow - GitHub - zzw922cn/Automatic_Speech_Recognition: End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
2017 · github.com · its alternatives →
- 13
GoMask.ai▲96Describe the dataset you need in plain English. Data Factory drafts the schema, keeps your correlations and generates up to a million rows. 1,000 free.
Oct 2025 · gomask.ai · its alternatives →
- 14
A single / multi layer / recurrent neural network written in Golang. - made2591/go-perceptron-go
2017 · github.com · its alternatives →
- 15
Experimental Global Optimization Algorithm. Contribute to chrisstroemel/Simple development by creating an account on GitHub.
2018 · github.com · its alternatives →
- 16
Quanty▲104AI powered market analysis platform with GraphQL API
2024 · quanty.ai · its alternatives →
- 17
Go implementation of variance's method for one-pass variance computation with D. H. D. West improved methods which features merging of several multiple sets of statistics and adding weighted values. - axiomhq/variance
2021 · github.com · its alternatives →
- 18
Hey HN, I am the founder of Tensorlake. Prototyping LLM applications have become a lot easier, building decision making LLM applications that work on constantly updating data is still very challenging in production settings. The systems engineering problems that we have seen people face are - 1. Reliably process ingested content in real time if the application is sensitive to freshness of information. 2. Being able to bring in any kind of model, and run different parts of the pipeline on GPUs and CPUs. 3. Fault Tolerance to ingestion spike, compute infrastructure failure. 4. Scaling compute,…
2024 · getindexify.ai · its alternatives →
- 19
GoLearn▲81Machine Learning for Go. Contribute to sjwhitworth/golearn development by creating an account on GitHub.
2014 · github.com · its alternatives →
- 20PN
The source for financial, economic, and alternative datasets, serving investment professionals.
2013 · quandl.com · its alternatives →
- 21
We built Gonzo to make log analysis faster and friendlier in the terminal. Think of it like k9s for logs — a TUI that can ingest JSON, text, or OpenTelemetry (OTLP) logs, highlight and boil up patterns, and even run AI models locally or via API to summarize logs. We’re still iterating, so ideas and contributions are welcome!
2025 · github.com · its alternatives →
- 22IT
I built this app over a week as a way to learn how to use TensorFlow with Mobilenets and to get some experience with Google Play (and partly as a dare). It's written in Java, as I wasn't able to find a Kotlin API for TFLite. It was built with Bazel. I'm pretty satisfied with the actual detector's performance, although I expect I could improve the UI a little bit. It's a weird UX, as you want it to be as simple and fast as possible (loss/notloss) but you also want it to have some sort of recognizability. I would love to hear your thoughts.…
2018 · its alternatives →
- 23
A Go library that implements Consistent Hashing and Consistent Hashing With Bounded Loads. - lafikl/consistent
2017 · github.com · its alternatives →
- 24
This paper has been accepted to KDD2025.
2025 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →