# SemiAnalysisAI/InferenceX > Open platform for continuous LLM inference benchmarking: measures SGLang, vLLM, TensorRT-LLM performance on NVIDIA, AMD and TPU hardware and publishes live results on a dashboard. - Magnitude: 1.4 out of 10 — Steady - Stars: 1,784 total · +4 stars today, ≈ 8 by evening - Star trust: star growth looks organic - Category: Language models · Language: Python · License: Apache-2.0 · Created: 2025-07-12 · Last push: 2026-09-29 - GitHub: https://github.com/SemiAnalysisAI/InferenceX · Homepage: https://inferencex.com/ · Page: https://gitnova.dev/en/r/SemiAnalysisAI/InferenceX ## Useful for - Run end-to-end inference benchmarks to compare SGLang and vLLM on your GPUs - Check performance of new CUDA or ROCm releases on supported SKUs - Estimate system power draw with power_model for datacenter planning ## Why it’s here - 4 stars so far today, about 8 expected by the end of the day. - GitHub Trending Python today: #6, +8 stars. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 309 - Issues and pull requests: 3,551 - Watchers: 14 - Average over the last week: 6 per day - Usual pace: 8 per day - Stars in the last hour (measured): 1 - Latest release: tilert-v0.1.5.post2-inferencex.1 (2026-08-19) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-08-31 … 2026-09-29: 11, 12, 3, 5, 8, 2, 2, 3, 6, 13, 13, 4, 1, 0, 18, 17, 9, 4, 12, 6, 5, 3, 6, 6, 5, 0, 5, 5, 10, 4 ## Spotted in now - GitHub Trending Python today: #6, +8 stars ## More in this category 1. **firelex/jeff** — 8.2 · Early signal · Language models · Python · +255 stars today, ≈ 486 by evening Small fine-tuned Qwen3.5 and Gemma 4 models for zero-shot classification: given a situation description and a list of options, they return a calibrated probability for each option in a single forward pass. Full card: https://gitnova.dev/en/r/firelex/jeff.md 2. **VectifyAI/PageIndex** — 7.4 · Breakout · Language models · Python · +285 stars today, ≈ 538 by evening A vectorless RAG engine that builds a hierarchical tree index of a document and retrieves by LLM reasoning over that tree, the way a human navigates a report. Aimed at long professional PDFs such as financial, legal and technical documents. Full card: https://gitnova.dev/en/r/VectifyAI/PageIndex.md 3. **Niko1221/Strata** — 7.2 · Early signal · Language models · C++ · +183 stars today, ≈ 387 by evening A C++ local inference engine that runs the 125B MoE model Qwen3.8-Flash-Next on a regular PC with one NVIDIA GPU (12-24 GB) and 64 GB RAM, exposing an OpenAI/Anthropic-compatible API on localhost. Full card: https://gitnova.dev/en/r/Niko1221/Strata.md 4. **PostHog/jeeves** — 6.6 · Early signal · Language models · Python · +83 stars today, ≈ 119 by evening Jeeves is a reasoning model built on Qwen3.5-9B (LoRA + pointer head), trained with SFT and CISPO, that thinks before answering and returns calibrated probabilities for yes/no, multiple-choice and rating questions via a Jev-compatible API. Full card: https://gitnova.dev/en/r/PostHog/jeeves.md 5. **ollaya-dev/ollaya** — 5.6 · Early signal · Language models · Rust · +40 stars today, ≈ 90 by evening A local runtime for decision models: pulls and serves classification and routing models behind a TypeSafe-compatible API. Like Ollama, but for models that return probabilities instead of text. Full card: https://gitnova.dev/en/r/ollaya-dev/ollaya.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-29 13:28 UTC, updated every 30 minutes.