Time Series Library (TSLib)
TOOLComprehensive benchmark for time-series models
View on GitHubOverview
Time Series Library (TSLib) is a free tool on OpenRuna. Comprehensive benchmark for time-series models
What this tool does
Looking for a dependable tool? "Time Series Library (TSLib)" gives you a tested starting point instead of a blank prompt box. Comprehensive benchmark for time-series models On OpenRuna it sits inside a connected graph of related tools, tools, and datasets, so branching into adjacent resources is one click away. Open a new conversation and paste it in, wire it into an agent, or keep it in your team's prompt library.
Use cases
- Use "Time Series Library (TSLib)" when you need a repeatable tool for professional work without rewriting instructions every time.
- Hand "Time Series Library (TSLib)" to a new teammate so their tool output matches your team's quality bar from day one.
- Combine it with related tools and prompts in the same OpenRuna category to build an end-to-end workflow.
- Reach for it during planning or review sessions when you want consistent, AI-assisted structure.
Example output
Ask the model to apply "Time Series Library (TSLib)" to your scenario and it returns a structured answer — clear sections, actionable steps, and assumptions stated upfront — ready to paste into docs, tickets, or code comments. Expect 2–3 iterations to dial in tone and depth for your context.
Tips by platform
Claude
With Claude, drop this tool into Project knowledge so every chat in the project inherits it. Ask Claude to restate the goal first, then run — it catches edge cases early.
ChatGPT
For ChatGPT, save this tool as a Custom Instruction or a saved prompt so it is one click away. Add your specifics in a follow-up rather than editing the original.
Cursor
Cursor users can store this tool as a project rule so Agent mode applies it automatically. Mention it with @ when you want it scoped to a single task.
Frequently asked questions
- What is "Time Series Library (TSLib)"?
- It is a tool listed on OpenRuna — Comprehensive benchmark for time-series models You can copy and adapt it for ChatGPT, Claude, Cursor, or any other AI assistant.
- Is "Time Series Library (TSLib)" free to use?
- Most OpenRuna resources are open or CC0-licensed. Check the license shown on this page before commercial use; premium collections are clearly marked as such.
- How do I get the best results from this tool?
- Replace any placeholders, add your project context, and ask the model to confirm its assumptions first. Iterate over 2–3 follow-up turns rather than expecting a perfect first response.
- Does "Time Series Library (TSLib)" work with both Claude and ChatGPT?
- Yes — it is model-agnostic text, so it runs on Claude, ChatGPT, Gemini, and Cursor. The tips on this page cover each of those assistants specifically.
- Where can I find resources related to "Time Series Library (TSLib)"?
- Scroll to the Related resources section on this page, or open the matching category hub on OpenRuna to find connected prompts, tools, agents, and datasets in the same topic area.
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