Life & fun · alternatives · 2026
24 alternatives to Jevper – the Jev interface on top of any OpenAI-compatible model
Jev-shaped (TypeSafe System One) classification wrapper over OpenAI-like clients: probabilities and confidence instead of prose - zhulinchng/jevper
Jevper is a classification wrapper that works with OpenAI-compatible models to return probabilities and confidence scores instead of text responses. It implements a TypeSafe System One approach for structured output.… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Jev▲544Fast, structured AI decisions for software automation
12d ago · console.typesafe.ai · its alternatives →
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Agent evals and guardrails in one request. Built on Jev, Kev and Laya. - openlayer-ai/jevals
12d ago · github.com · its alternatives →
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V-JEPA 2▲198Meta's world model for physical world understanding
2025 · ai.meta.com · its alternatives →
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Opper AI▲229Hey HN! After the Car Wash Test post got quite a big discussion going (400+ comments, https://news.ycombinator.com/item?id=47128138), I spent the past few weeks building a tool so anyone can run these kinds of questions and get structured results. No signup and free to use. You type a question, define answer options, pick up to 50 models at a time from a pool of 200+, and they all answer independently under identical conditions. No system prompt, structured output, same setup for every model. You can also run a debate round where models see each other's reasoning and get a…
Jul 2026 · opper.ai · its alternatives →
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September 2026. Every number here is from the benchmarks, and bash experiments/bench.sh --no-record reruns them without an API key.
3d ago · jevstiller.pages.dev · its alternatives →
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Interactive JSON filter using jq. Contribute to ynqa/jnv development by creating an account on GitHub.
2024 · github.com · its alternatives →
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Logprobs for OpenAI Structured Outputs
2025 · arena-ai.github.io · its alternatives →
- 8
We've open-sourced Klarity - a tool for analyzing uncertainty and decision-making in LLM token generation. It provides structured insights into how models choose tokens and where they show uncertainty. What Klarity does: - Real-time analysis of model uncertainty during generation - Dual analysis combining log probabilities and semantic understanding - Structured JSON output with actionable insights - Fully self-hostable with customizable analysis models The tool works by analyzing each step of text generation and returns a structured JSON: - uncertainty_points: array of {step, entropy,…
2025 · github.com · its alternatives →
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Contribute to olup/zod-chatgpt development by creating an account on GitHub.
2023 · github.com · its alternatives →
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Typed, functional (folds, scans) stream processing backed by Andrew Gallant/burntsushi's regular expressions library. There's a guide here! https://vmchale.github.io/jacinda/
2024 · hackage.haskell.org · its alternatives →
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JevForAgents▲59Explore real Jev agent builds, demos, and patterns
8d ago · jevforagents.com · its alternatives →
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A lightweight, single-binary coding agent harness written in Go. Anthropic, OpenAI, Kimi, DeepSeek, Google Gemini, Ollama, managed llama.cpp models, five built-in tools, three run modes, extensions in any language, and a built-in Telegram bridge.
May 2026 · zot.sh · its alternatives →
- 13OS
Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…
2025 · its alternatives →
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slop-grader▲89Jev-AI CLI tool that evaluates text against custom rulesets
12d ago · github.com · its alternatives →
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Lisp-like-R: A clojure inspired lisp that compiles to R in R - dirkschumacher/llr
2021 · github.com · its alternatives →
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Local decision model with calibrated probabilities: send a state and yes/no, choice or score questions, get a probability for every option. 0.8B GGUF on CPU, Jev-style API. - kouhxp/gutsy
1d ago · github.com · its alternatives →
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A general-purpose encoder-decoder framework for Tensorflow - google/seq2seq
2017 · github.com · its alternatives →
- 19AT
I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…
2025 · llmapitest.com · its alternatives →
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Hi everyone, wanted to share about gline-rs, an inference engine for GLiNER models written in Rust. This family of lightweight language models proved to be efficient at zero-shot Named Entity Recognition (NER) and other tasks such as Relation Extraction, while consuming less resources than large generative models (LLMs). This implementation has been written from the ground up in Rust, and supports both span- and token-oriented variants (for inference only). The goal is to provide a production-grade and user-friendly API in a modern and safe programming language, including a clean and…
2025 · github.com · its alternatives →
- 21AT
Hey HN! Erik here from banana.dev We’ve trained a small(ish) language model on structured extraction, and today we’re launching a playground for it at https://anythingtojson.com. Give it a try! This model continues our work on structured generation, following last week’s launch of Fructose[1], a python client for strongly-typed LLM responses. There seem to be two distinct halves of the problem intended to be solved by Fructose and structured generation: 1. the reasoning ability of the model, such as performing chain of thought, creative acts, and natural language tasks. In a way,…
2024 · anythingtojson.com · its alternatives →
- 22PJ
2014 · srl.inf.ethz.ch · its alternatives →
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Calculate confidence score for structured output generated by LLMs like OpenAI - ManiDoraisamy/promptrepo-score
2025 · github.com · its alternatives →
- 24
I wanted to share an experimental side project I have been working on for some time. I constantly use commands like `jq` and `yq` for processing structured data in my day job and I was curious if a similar idea could be applied to images. Another goal of mine was to get some exposure to with rust. I discovered the LALRPOP parser generator which really helped moved the project along (https://github.com/lalrpop/lalrpop)
2022 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →