Life & fun · alternatives · 2026
24 alternatives to 4d-Modeller – R library to make Bayesian spatiotemporal modeling easy
Hi, I've been working with other colleagues at University of Bristol for the last year to build an R-package that makes bayesian spatio-temporal modeling easy. That is, if you have some problem like predicting sea level rise over time, disease transmissions, etc., this package may be useful for you. It centers on a collection of Shiny apps that guide you through using the various pieces of spatio-temporal modeling packages like R-INLA or inlabru. Hopefully people find this useful. I think the nice part is that we really tried to design the package so you can add it to your modeling tool kit…
4d-Modeller is an R package developed at the University of Bristol that simplifies Bayesian spatiotemporal modeling through a collection of Shiny apps. It guides users through tools like R-INLA and inlabru for… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. 4d-Modeller – R library to make Bayesian spatiotemporal modeling easy launched in 2023; newer entries below may have overtaken it.
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🐢 bayesAB: Fast Bayesian Methods for A/B Testing. Contribute to FrankPortman/bayesAB development by creating an account on GitHub.
2017 · github.com · its alternatives →
- 2
Bayesian git bisect. Contribute to hauntsaninja/git_bayesect development by creating an account on GitHub.
Mar 2026 · github.com · its alternatives →
- 3IT
Experiments in expressing statistical thinking with interactive design
2015 · r2d3.us · its alternatives →
- 4AR
2018 · tylermw.com · its alternatives →
- 5
Flexible tool to build planet-scale vector tilesets from OpenStreetMap data fast - onthegomap/planetiler
2021 · github.com · its alternatives →
- 6
📈 A small, fast chart for time series, lines, areas, ohlc & bars - leeoniya/uPlot
2019 · github.com · its alternatives →
- 7
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 · its alternatives →
- 8SB
2017 · martin.varela.fi · its alternatives →
- 9DA
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 →
- 10MMapipedia▲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 · its alternatives →
- 11
I ported Microsoft's TRELLIS.2 (4B parameter image-to-3D model) to run on Apple Silicon via PyTorch MPS. The original requires CUDA with flash_attn, nvdiffrast, and custom sparse convolution kernels: none of which work on Mac. I replaced the CUDA-specific ops with pure-PyTorch alternatives: a gather-scatter sparse 3D convolution, SDPA attention for sparse transformers, and a Python-based mesh extraction replacing CUDA hashmap operations. Total changes are a few hundred lines across 9 files. Generates ~400K vertex meshes from single photos in about 3.5 minutes on M4 Pro (24GB). Not as fast as…
Apr 2026 · github.com · its alternatives →
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Interactive, animated architecture maps for any Hugging Face model — and whether it fits on your GPU.
Aug 2026 · modelmap.cc · its alternatives →
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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 · its alternatives →
- 14
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile - target/matrixprofile-ts
2019 · github.com · its alternatives →
- 15TT
Simulate anything on a map from a text prompt -- and conduct risk analysis against LiveUA map's global realtime data points from social media and news sources. I trained a GPT-2-size model on historical incident data used to predict things that will go wrong. As historian Benjamin Breen mentions, the leading language models are good historians, so the application will simulate historical events pretty well also. I include a Multi-Agent RL Urban Mobility model in progress displayed on the map as small white cubes representing traffic and pedestrians. Around SF, it uses real census data and…
2025 · mused.com · its alternatives →
- 16VM
Topological visualizations for the masses
2020 · topovis.iambeef.com · its alternatives →
- 17
Two weeks ago I was on my babymoon in Corfu, Greece. While in transit, I was overseeing a GSoC intern submit an important feature to my array database library, Xarray-SQL. He added `to_dataset()`, which completed the roundtrip between thinking of array data in a tabular model simultaneously as gridded rasters (the premise of the project is that every Nd array can be mapped to 2d, where orthogonal dims of the Nd array are just primary keys of a tabular representation). We discussed in chat, now that this feature existed, what demos could we make that would prove this data model works? With…
Jul 2026 · github.com · its alternatives →
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Hey HN! We’ve just open-sourced model2vec-rs, a Rust crate for loading and running Model2Vec static embedding models with zero Python dependency. This allows you to embed text at (very) high throughput; for example, in a Rust-based microservice or CLI tool. This can be used for semantic search, retrieval, RAG, or any other text embedding usecase. Main Features: - Rust-native inference: Load any Model2Vec model from Hugging Face or your local path with StaticModel::from_pretrained(...). - Tiny footprint: The crate itself is only ~1.7 mb, with embedding models between 7 and 30 mb. Performance:…
2025 · github.com · its alternatives →
- 19
Experimental Global Optimization Algorithm. Contribute to chrisstroemel/Simple development by creating an account on GitHub.
2018 · github.com · its alternatives →
- 20
The model has 3B active parameters. We put the code, homepage, paper and model links here: - Code: https://github.com/bytedance/Lance - Homepage: https://lance-project.github.io/ - Paper: https://arxiv.org/abs/2605.18678 - Model: https://huggingface.co/bytedance-research/Lance p.s. Lance is a research project, not a polished product. The model was trained using fewer than 128 GPUs.
May 2026 · github.com · its alternatives →
- 21G3
I made a web app to generate 3D models of real places on earth from land cover and elevation data. Click anywhere on the map to get a polygon, and then click "generate". It should work at most scales, but if your watershed or region selection is too large, the result can be less exciting because it's so flat. As a warning, the 3D models can sometimes be too much for my phone. It's nicer on desktop. I'm still working better on mobile support. The land cover data I'm using gives a cool effect, but at some point I'd like to add in global imagery and clouds. The backend is a Python thread…
2025 · topography.jessekv.com · its alternatives →
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A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk
2019 · github.com · its alternatives →
- 24
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
16d ago · huggingface.co · 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 →