Data & Research · GitHub ·7 ★

impermanent

Impermanent: a live benchmark for forecasting that measures temporal generalization under real world data drift. The benchmark includes foundation models (from AWS, Google, NXAI, Salesforce), classical statistical methods, and simple baselines. Metrics such as MASE and scaled CRPS, along with champi

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Details

Author
TimeCopilot
Category
Data & Research
Platform
GitHub
Framework
custom
Language
python
Stars
7
First indexed
2026-05-15
Last active
2026-03-24
Directory sync
2026-05-15
@TimeCopilot

Overview

Impermanent: a live benchmark for forecasting that measures temporal generalization under real world data drift. The benchmark includes foundation models (from AWS, Google, NXAI, Salesforce), classical statistical methods, and simple baselines. Metrics such as MASE and scaled CRPS, along with champi

Quick start

git

git clone https://github.com/TimeCopilot/impermanent

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What impermanent can do

datasales
  • Data — Reads, transforms, and analyses structured data.
  • Sales — Qualifies leads and drafts sales communications.

Frequently asked questions

What is impermanent?
Impermanent: a live benchmark for forecasting that measures temporal generalization under real world data drift. The benchmark includes foundation models (from AWS, Google, NXAI, Salesforce), classical statistical methods, and simple baselines. Metrics such as MASE and scaled CRPS, along with champi
How do I install impermanent?
Use git: `git clone https://github.com/TimeCopilot/impermanent`. Full setup details on the source page linked above.
Is impermanent open source?
impermanent is published on GitHub.
What are alternatives to impermanent?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for impermanent is sourced from GitHub, published by TimeCopilot.

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