Mindket

open-predico dashboard

Newversion 1 · updated

Overview

Shows live forecasts and backtest results for the open-predico project as a static web page with charts. For people who follow its benchmark and want to see scores, target series and inputs.

open-predico dashboard is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Nothing to install if you use the Space online
  • Python, to download the files with the Hugging Face tool
  • A web browser to open index.html
Runs in
  • A web browser, on the Space's page at Hugging Face
  • Your own computer, by opening the downloaded index.html in a browser
Start with
pip install -U huggingface_hub
hf download open-predico/dashboard --repo-type space --local-dir dashboard
cd dashboard

Platform

ServerRuns on it

About

What it is

This is a dashboard for the open-predico project. It shows live forecasts, a backtest leaderboard, the target series and a catalog of inputs. The page is static HTML that draws small data files, so it opens in a browser with nothing to install.

Who it suits

It suits people who follow the open-predico benchmark and want its forecasts and scores in one place.

IndustryWho uses itHow they use itExample
ResearchForecasting researchersRead backtest scores on the leaderboardLook at how entries rank against each other
Data scienceAnalystsCheck the target series and input catalogSee which inputs feed a forecast
Open sourceProject contributorsReview what the project publishesLook at live forecasts after they are published
TeachingInstructorsShow how forecasts get evaluatedWalk a class through a leaderboard

You can skip it if you want to build or run forecasting models yourself, since this page only displays results.

Where to use it

  • A web browser, on the Space's page at Hugging Face
  • Your own computer, by opening the downloaded index.html in a browser
Use caseWhoWhat they get back
Follow live forecastsProject followersThe latest forecasts, published after each gate
Compare backtestsResearchersA leaderboard of backtest results
Inspect dataAnalystsThe target series and the input catalog

How to set it up

  • Nothing to install if you use the Space online
  • Python, to download the files with the Hugging Face tool
  • A web browser to open index.html
  1. Open the Space's page on Hugging Face to use it online.
  2. To keep a copy, install huggingface_hub and download the Space into a folder.
  3. Move into that folder.
  4. Open index.html in a web browser.
pip install -U huggingface_hub
hf download open-predico/dashboard --repo-type space --local-dir dashboard
cd dashboard

How to use it

Open the page and look through its four views. The charts are drawn with uPlot from the small JSON files in the data folder. The README also shows one line that rebuilds the data in demo mode and serves the page locally.

ToolWhat it does
Live forecastsShows forecasts published after each gate
Backtest leaderboardRanks results from backtests
Target seriesShows the series being forecast
Input catalogLists the inputs used
uv run python dashboard/build.py --demo-live && python -m http.server -d dashboard

Example

Open the dashboard and go to the backtest leaderboard. You see the backtest scores laid out so you can compare entries, and the live forecasts view shows what was published most recently.

For newcomers and experts

If you are new, open the Space online and click through the live forecasts first. Then try the leaderboard, which is where results from past tests sit.

If you know the field, the page is index.html plus app.js, drawing small JSON files with uPlot. A build script writes those files from the open-predico benchmark and live datasets on Hugging Face, with scores computed through the openpredico evaluation metrics. An upload option pushes the finished Space.

  1. Build script reads the public datasets
  2. It writes small JSON files to data
  3. index.html and app.js load the files
  4. uPlot draws the charts in the browser

Good to know

  • License: apache-2
  • Cost to run: none named. The online page needs only a browser.
  • Data it reaches: two public datasets on Hugging Face, a benchmark one and a live one, which the build step reads. The page draws small JSON files from its data folder.
  • Not for: running or training forecasting models. It is a display page for results.

README and files

README

open-predico dashboard

Shows live forecasts and backtest results for the open-predico project as a static web page with charts. For people who follow its benchmark and want to see scores, target series and inputs.

Made by open-predico on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: This is a dashboard for the open-predico project. It shows live forecasts, a backtest leaderboard, the target series and a catalog of inputs. The page is static HTML that draws small data files, so it opens in a browser with nothing to install.

Who it suits: It suits people who follow the open-predico benchmark and want its forecasts and scores in one place.

Industry | Who uses it | How they use it | Example
Research | Forecasting researchers | Read backtest scores on the leaderboard | Look at how entries rank against each other
Data science | Analysts | Check the target series and input catalog | See which inputs feed a forecast
Open source | Project contributors | Review what the project publishes | Look at live forecasts after they are published
Teaching | Instructors | Show how forecasts get evaluated | Walk a class through a leaderboard

You can skip it if you want to build or run forecasting models yourself, since this page only displays results.

Where to use it:

  • A web browser, on the Space's page at Hugging Face
  • Your own computer, by opening the downloaded index.html in a browser
Use case | Who | What they get back
Follow live forecasts | Project followers | The latest forecasts, published after each gate
Compare backtests | Researchers | A leaderboard of backtest results
Inspect data | Analysts | The target series and the input catalog

How to set it up:

  • Nothing to install if you use the Space online
  • Python, to download the files with the Hugging Face tool
  • A web browser to open index.html
  1. Open the Space's page on Hugging Face to use it online.
  2. To keep a copy, install huggingface_hub and download the Space into a folder.
  3. Move into that folder.
  4. Open index.html in a web browser.
pip install -U huggingface_hub
hf download open-predico/dashboard --repo-type space --local-dir dashboard
cd dashboard

How to use it: Open the page and look through its four views. The charts are drawn with uPlot from the small JSON files in the data folder. The README also shows one line that rebuilds the data in demo mode and serves the page locally.

Tool | What it does
Live forecasts | Shows forecasts published after each gate
Backtest leaderboard | Ranks results from backtests
Target series | Shows the series being forecast
Input catalog | Lists the inputs used
uv run python dashboard/build.py --demo-live && python -m http.server -d dashboard

Example: Open the dashboard and go to the backtest leaderboard. You see the backtest scores laid out so you can compare entries, and the live forecasts view shows what was published most recently.

For newcomers and experts: If you are new, open the Space online and click through the live forecasts first. Then try the leaderboard, which is where results from past tests sit.

If you know the field, the page is index.html plus app.js, drawing small JSON files with uPlot. A build script writes those files from the open-predico benchmark and live datasets on Hugging Face, with scores computed through the openpredico evaluation metrics. An upload option pushes the finished Space.

Build script reads the public datasets
It writes small JSON files to data
index.html and app.js load the files
uPlot draws the charts in the browser

Good to know:

  • License: apache-2
  • Cost to run: none named. The online page needs only a browser.
  • Data it reaches: two public datasets on Hugging Face, a benchmark one and a live one, which the build step reads. The page draws small JSON files from its data folder.
  • Not for: running or training forecasting models. It is a display page for results.

On Hugging Face, 13 November 2026

  • Likes: 2
  • Built with: static
  • License: apache-2.0

Links

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
open-predico dashboard This page2staticapache-2.0
Arena LeaderboardShares static5,039staticapache-2.0
BrowserShares static533staticcc0-1.0
Model PulseShares static214staticapache-2.0
MTEB-BR LeaderboardShares static126staticapache-2.0
Hub StatsShares static65staticapache-2.0
Numbers as Mindket last read them, on 2026-11-12.

Reviews

No ratings yet

Write a review

No reviews yet.

More from Mindket

See all from Mindket

anaksor-ocr

Sokheng · Kit

Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…

New

Qwen2.5-7B-Instruct as GGUF files in eight quantization sizes, to chat with locally through llama.cpp. For people who want a capable 7.6B model on their own co…

New

ACE-Step 1.5 XL SFT

ACE-Step · Kit

Generates music from text with a 4B diffusion decoder, 50 steps and guidance control, aiming for higher audio quality than the base. For creators with a GPU of…

New

Similar in Research

See all in Research

Merlin-Cancer-Super

AbdomenAtlas · Kit

Detects and outlines tumors in 9 organs on CT scans, trained with the R-Super method that learns from radiology reports. A research model for medical imaging g…

New

EarthJev

dBenf · Kit

Answers typed questions about satellite image patches from all 12 Sentinel-2 bands, returning a probability for each option without writing text. A Qwen3.5-0.8…

New

getting-over-it-rl-jax

zimmerk4 · Kit

Plays the full game Getting Over It from the bottom to the end with a small trained policy network that learned inside a JAX physics simulator. For reinforceme…

New