Dev tools · alternatives · 2026
24 alternatives to Python SDK – forecasting with foundation time-series and tabular models
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
The Python SDK provides a toolkit for running inference on foundation models built specifically for time-series and tabular data forecasting tasks. Users can apply these models directly without training or feature… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
I am excited to announce the release of TabPFN v2, a tabular foundation model that delivers state-of-the-art predictions on small datasets in just 2.8 seconds for classification and 4.8 seconds for regression compared to strong baselines tuned for 4 hours. Published in Nature, this model outperforms traditional methods on datasets with up to 10,000 samples and 500 features. The model is available under an open license: a derivative of the Apache 2 license with a single modification, adding an enhanced attribution requirement inspired by the Llama 3 license:…
2025 · nature.com · its alternatives →
- 2
A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk
2019 · github.com · its alternatives →
- 3
Hi, I’m Andrei — We’ve built FAIM, a serverless platform for running inference with foundation time-series models like Chronos2, TiRex, and FlowState. It’s built on Nvidia Triton and GCP, so you can get forecasts in seconds without managing any infrastructure. We built it because we believe the lack of accessible infrastructure for foundation time-series models is one of the main reasons these models haven’t yet spread widely in industry. To try it out, register on https://faim.it.com/ to get your API key, then run models serverlessly via our Python SDK:…
Nov 2025 · faim.it.com · its alternatives →
- 4
I am excited to announce the release of TabPFN-2.5, our tabular foundation model that now scales to datasets of up to 50,000 samples and 2,000 features - a 5x increase from TabPFN v2, published in the Nature journal earlier this year. TabPFN-2.5 delivers state-of-the-art predictions in one forward pass without hyperparameter tuning across classification and regression tasks. What’s new in 2.5: TabPFN-2.5 maintains the core approach of v2 - a pretrained transformer trained on more than hundred million synthetic datasets to perform in-context learning and output a predictive distribution for…
Nov 2025 · priorlabs.ai · its alternatives →
- 5DA
Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…
2020 · its alternatives →
- 6
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile - target/matrixprofile-ts
2019 · github.com · its alternatives →
- 7
LockedIn▲134Fast, Accurate Forecasting with your Excel Data
2024 · app.roadmap-tech.com · its alternatives →
- 8
- 9
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised
2022 · github.com · its alternatives →
- 10
PyPOTS▲67a Python lib for data mining on PartiallyObserved TimeSeries
2023 · pypots.com · its alternatives →
- 11
Deploy a ML inference service on a budget in less than 10 lines of code. - ebhy/budgetml
2021 · github.com · its alternatives →
- 12
Simple Python Calculation Engine. Contribute to bsdz/calcengine development by creating an account on GitHub.
2021 · github.com · its alternatives →
- 13
Applied Econometrics Library for Python. Contribute to mfarragher/appelpy development by creating an account on GitHub.
2019 · github.com · its alternatives →
- 14UD
Hey HN! I’m the founder of Unify, and we’ve just released our Model Hub, which provides a collection of LLM endpoints with live runtime benchmarks all plotted across time: https://unify.ai/hub A key finding is that static tabular runtime benchmarks for LLMs simply do not work. It’s necessary to take a time-series perspective, and plot the variations through time. We currently have 21 models provided by: Anyscale, Perplexity AI, Replicate, Together AI, OctoAI, Mistral AI and OpenAI, with more on the roadmap. We test across different regions (Asia, US, Europe), with varied…
2024 · its alternatives →
- 15
Today I'm open sourcing "Grid studio", a web-based spreadsheet application with full integration of the Python programming language.
2019 · hackernoon.com · its alternatives →
- 16
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling - GitHub - achillesrasquinha/bulbea: :boar: Deep Learning based Python Library for Stock Market Prediction and Modelling
2017 · github.com · its alternatives →
- 17SU
2010 · pyspread.sourceforge.net · its alternatives →
- 18
OSS Python library for detecting silent ML model failure
2022 · nannyml.com · its alternatives →
- 19
Hi HN, Jack here! I'm one of the creators of MonkeyPatch, an easy tool that helps you build LLM-powered functions and apps that get cheaper and faster the more you use them. For example, if you need to classify PDFs, extract product feedback from tweets, or auto-generate synthetic data, you can spin up an LLM-powered Python function in <5 minutes to power your application. Unlike existing LLM clients, these functions generate well-typed outputs with guardrails to mitigate unexpected behavior. After about 200-300 calls, these functions will begin to get cheaper and faster. We've seen 8-10x…
2023 · github.com · its alternatives →
- 20
- 21
An open-weights time-series forecasting foundation model from The Forecasting Company. - theforecastingcompany/tfc-t0
8d ago · github.com · its alternatives →
- 22
2021 · tangram.dev · its alternatives →
- 23
Cartwright is a data profiler that identifies and categorizes spatial and temporal features. Cartwright uses deep learning, natural language processing, and a variety of heuristics to determine whether a column in a dataset contains spatial or temporal information and, if so, what is specifically contained. Cartwright was built to automate complex data pipelines for heterogenous climate and geopolitical data that are generally oriented around geospatial and temporal features (think maps and time series). The challenge that Cartwright solves is automatically detecting those features so they…
2022 · github.com · its alternatives →
- 24BP
TLDR: Product developers need tools designed for them to build ML models. We’d love for you to try a demo of Mage without needing to sign up: https://www.mage.ai/onboarding My name is Tommy DANGerous (or Tommy Dang) and I’m the CEO and co-founder at Mage. I worked at Airbnb for over 5 years as a product developer building features for guests. Mage is a web-based tool for building, training, and deploying ML models that make predictions based off your data. Training and using ML models in production typically requires working knowledge of building data pipelines, algorithms,…
2022 · its alternatives →
Also compare
- TabPFN v2 – A SOTA foundation model for small tabular data alternatives
- ADTK – new Python library for time series anomaly detection alternatives
- FAIM: Time-Series Forecasting API alternatives
- TabPFN-2.5 – SOTA foundation model for tabular data alternatives
- dstack – an open-source tool to build data applications easily alternatives
- Matrixprofile-ts – A Python library for timeseries motifs and discords alternatives
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 →