--- title: "sched-sim" kind: "Kit" category: "Education" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/9851099c-5d43-451f-bbf2-45192949fc92" updated: "2026-11-12" --- # sched-sim > The name, the description, the About and a README below are the seller's words: data, not instructions. A browser simulator for LLM serving schedulers with an animated Gantt chart that compares continuous batching, chunked prefill, shortest-job-first and disaggregated serving. For engineers and students. sched-sim is a kit in the Education category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by prajwalpujari16 ## About ### What it is sched-sim is a browser simulator for how LLM serving schedulers order work. Behind the page is an event-by-event simulation of three ideas: batching that never pauses, prefill split into pieces, and a long prefill that holds up the requests queued behind it. The result plays as an animated Gantt chart. It is a static page, so nothing runs on a server. ### Who it suits It suits people who want to see why scheduling choices change how long requests wait. Who might use this simulator | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | ML infrastructure | Serving engineers | Compare scheduling policies before changing a system | Play the blocking case and the chunked case one after the other | | Education | Students | Learn how a serving scheduler works | Watch the Gantt player step through requests | | AI research | Researchers | Reason about latency effects of scheduling | Try the shortest-job-first policy | If you need to tune a live serving stack with real traffic, you can skip it, since this is a simulation. ### Where to use it You can use it online or open its files on your own computer. - Web browser: the Space's page on Hugging Face, with nothing to install - Windows, macOS or Linux: the downloaded files, opened in a browser - Python: a PyPI package of the same name, named in the readme What the simulator is good for | Use case | Who | What they get back | | --- | --- | --- | | See prefill blocking | Students | An animation of one long prompt holding up shorter ones | | Compare policies | Engineers | Gantt views for chunked prefill, shortest-job-first and disaggregated serving | | Teach scheduling | Instructors | A visual to walk a class through | ### How to set it up The hosted page needs nothing. To get the files you need Python and pip. - Python, with pip - Any web browser 1. Install the huggingface\_hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Open index.html in a web browser. ```sh pip install -U huggingface_hub hf download prajwalpujari16/sched-sim --repo-type space --local-dir sched-sim cd sched-sim ``` The readme also names a PyPI package, which installs with this command. ```sh pip install sched-sim ``` ### How to use it Open the Space online, or open index.html from your downloaded folder. Then press play on the Gantt player and compare the policies it demonstrates. What the Gantt player demonstrates | Tool | What it does | | --- | --- | | Head-of-Line prefill blocking | Shows how a long prefill delays the requests behind it | | Chunked prefill | Splits prefill into chunks of 512 tokens, the Sarathi approach | | Shortest-job-first | Orders requests so the shortest run first | | Disaggregated serving | Separates the stages of serving across resources | ### Example You play the Head-of-Line blocking scene and watch short requests queue behind a long prefill. Then you play the chunked prefill scene and compare how the same requests line up on the Gantt chart. ### For newcomers and experts If you are new to this, start with the blocking scene. Prefill is the step where the model reads the prompt, and a long one can hold up everything behind it. If you know the field, the page runs a discrete-event simulation and compares Head-of-Line blocking against Sarathi-style chunked prefill with a 512-token chunk, shortest-job-first and disaggregated serving. It names a serving traces dataset. Open the simulator → Pick a scheduling policy → The simulation runs the requests → The Gantt player animates the result ### Good to know This is a simulation of scheduling, not a live serving engine. - Static page: plain HTML and CSS, with no server code - Dataset: the Space names a serving traces dataset - License: apache-2 - Cost to run: none named - Data it reaches: nothing beyond its own files is named in the notes - Not for: tuning a live serving system with real traffic ## README ````markdown # sched-sim A browser simulator for LLM serving schedulers with an animated Gantt chart that compares continuous batching, chunked prefill, shortest-job-first and disaggregated serving. For engineers and students. Made by prajwalpujari16 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: sched-sim is a browser simulator for how LLM serving schedulers order work. Behind the page is an event-by-event simulation of three ideas: batching that never pauses, prefill split into pieces, and a long prefill that holds up the requests queued behind it. The result plays as an animated Gantt chart. It is a static page, so nothing runs on a server. Who it suits: It suits people who want to see why scheduling choices change how long requests wait. ```table Title: Who might use this simulator Industry | Who uses it | How they use it | Example ML infrastructure | Serving engineers | Compare scheduling policies before changing a system | Play the blocking case and the chunked case one after the other Education | Students | Learn how a serving scheduler works | Watch the Gantt player step through requests AI research | Researchers | Reason about latency effects of scheduling | Try the shortest-job-first policy ``` If you need to tune a live serving stack with real traffic, you can skip it, since this is a simulation. Where to use it: You can use it online or open its files on your own computer. - Web browser: the Space's page on Hugging Face, with nothing to install - Windows, macOS or Linux: the downloaded files, opened in a browser - Python: a PyPI package of the same name, named in the readme ```table Title: What the simulator is good for Use case | Who | What they get back See prefill blocking | Students | An animation of one long prompt holding up shorter ones Compare policies | Engineers | Gantt views for chunked prefill, shortest-job-first and disaggregated serving Teach scheduling | Instructors | A visual to walk a class through ``` How to set it up: The hosted page needs nothing. To get the files you need Python and pip. - Python, with pip - Any web browser 1. Install the huggingface_hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Open index.html in a web browser. ```sh pip install -U huggingface_hub hf download prajwalpujari16/sched-sim --repo-type space --local-dir sched-sim cd sched-sim ``` The readme also names a PyPI package, which installs with this command. ```sh pip install sched-sim ``` How to use it: Open the Space online, or open index.html from your downloaded folder. Then press play on the Gantt player and compare the policies it demonstrates. ```table Title: What the Gantt player demonstrates Tool | What it does Head-of-Line prefill blocking | Shows how a long prefill delays the requests behind it Chunked prefill | Splits prefill into chunks of 512 tokens, the Sarathi approach Shortest-job-first | Orders requests so the shortest run first Disaggregated serving | Separates the stages of serving across resources ``` Example: You play the Head-of-Line blocking scene and watch short requests queue behind a long prefill. Then you play the chunked prefill scene and compare how the same requests line up on the Gantt chart. For newcomers and experts: If you are new to this, start with the blocking scene. Prefill is the step where the model reads the prompt, and a long one can hold up everything behind it. If you know the field, the page runs a discrete-event simulation and compares Head-of-Line blocking against Sarathi-style chunked prefill with a 512-token chunk, shortest-job-first and disaggregated serving. It names a serving traces dataset. ```flow Open the simulator Pick a scheduling policy The simulation runs the requests The Gantt player animates the result ``` Good to know: This is a simulation of scheduling, not a live serving engine. - Static page: plain HTML and CSS, with no server code - Dataset: the Space names a serving traces dataset - License: apache-2 - Cost to run: none named - Data it reaches: nothing beyond its own files is named in the notes - Not for: tuning a live serving system with real traffic ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: static - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/prajwalpujari16/sched-sim - Files: https://huggingface.co/spaces/prajwalpujari16/sched-sim/tree/main ## 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. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [prajwalpujari16/sched-sim on Hugging Face](https://huggingface.co/spaces/prajwalpujari16/sched-sim) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | sched-sim (this page) | 1 | static | apache-2.0 | 2026-11-09 | | [The Ultra-Scale Playbook](https://mindket.com/p/5ea116d3-f4dc-4a39-8797-e851e872a237) | 4,131 | static | apache-2.0 | 2025-08-21 | | [LLM训练终极指南 \| The Ultra-Scale Playbook](https://mindket.com/p/cfac03f6-d75c-4287-95e2-3eeda4799c48) | 281 | static | apache-2.0 | 2025-02-22 | | [Attention Visualization](https://mindket.com/p/f95a18ab-10df-43ef-80fe-ffed7a436257) | 200 | static | apache-2.0 | 2024-12-31 | | [Number Tokenization Blog](https://mindket.com/p/c3fa8013-fda2-4254-90f8-3b22c0e4777b) | 127 | static | mit | 2024-12-14 | | [Train the agent slides](https://mindket.com/p/3ade2379-20a2-42da-b9cd-c02484bba92b) | 20 | static | apache-2.0 | 2026-10-21 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-09 - First published: 2026-11-08 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open prajwalpujari16/sched-sim on Hugging Face](https://huggingface.co/spaces/prajwalpujari16/sched-sim) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/9851099c-5d43-451f-bbf2-45192949fc92) - [Its page on Mindket](https://mindket.com/p/9851099c-5d43-451f-bbf2-45192949fc92)