AI · alternatives · 2026
24 alternatives to Efemarai
Easily test and debug your ML models
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Efemarai launched in 2021; newer entries below may have overtaken it.
- 1EV
2021 · efemarai.com · its alternatives →
- 2
Interactive, node-by-node debugging and visualization for TensorFlow - ericjang/tdb
2015 · github.com · its alternatives →
- 3
Oopsie▲706Debug Flutter & React Native apps with AI & Session Replays
2024 · zipy.ai · its alternatives →
- 4AW
Hey HN, I wanted to show you a product a small team and I have been working on for 4 years. https://jam.dev It’s called Jam and it prevents product managers (like I used to be) from being able to create vague and un-reproducible bug tickets (like I used to create). It’s actually really hard as a non-engineer to file useful bug tickets for engineers. Like, sometimes I thought I included a screenshot, but the important information the engineer needed was what was actually right outside the boundary of the screenshot I took. Or I'd write that something "didn't work" but the engineer…
2024 · its alternatives →
- 5
Automated Penetration Testing for AI-Built Apps
2021 · replay.io · its alternatives →
- 6
Ollama v0.19▲410Massive local model speedup on Apple Silicon with MLX
Apr 2026 · ollama.com · its alternatives →
- 7
Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference. - kossisoroyce/timber
Mar 2026 · github.com · its alternatives →
- 8
TensorZero▲307Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…
2025 · github.com · its alternatives →
- 9
Make powerful, interactive machine learning visualizations
2020 · wandb.ai · its alternatives →
- 10
A simple Python debugger and profiler that generates animated visualizations of program flow, useful for algorithm learning. - CCExtractor/vardbg
2020 · github.com · its alternatives →
- 11
debugcode.ai▲103Debug like never before with the power of AI
2023 · debugcode.ai · its alternatives →
- 12
Hey all, I've been working on this side project to get a Cypress.io-like experience, but for Ruby developers. It's plug-n-play with Capybara system tests, with the following features: - visualize assertions/commands as they happen - view all API requests, errors, and logs in the timeline - pause/continue on any step - rewind through history with a recorded video This is brand new, so looking for people to start trying it out and leave feedback.
2024 · github.com · its alternatives →
- 13
I started using Claude Code (claude --dangerously-skip-permissions) and Codex (codex --yolo) and realized I had no reliable way to know what they actually did. The agent's own output tells you a story, but it's the agent's story. logira records exec, file, and network events at the OS level via eBPF, scoped per run. Events are saved locally in JSONL and SQLite. It ships with default detection rules for credential access, persistence changes, suspicious exec patterns, and more. Observe-only – it never blocks. https://github.com/melonattacker/logira
Mar 2026 · github.com · its alternatives →
- 14
- 15
Hey HN, I just built an experimental VSCode extension called LLM Debugger. It’s a proof-of-concept that lets a large language model take charge of debugging. Instead of only looking at the static code, the LLM also gets to see the live runtime state—actual variable values, function calls, branch decisions, and more. The idea is to give it enough context to help diagnose issues faster and even generate synthetic data from running programs. Here’s what it does: * Active Debugging: It integrates with Node.js debug sessions to gather runtime info (like variable states and stack traces). *…
2025 · github.com · its alternatives →
- 16
Hi HN! We’re Adrien and Kanav. We met at our previous job, where we spent about a third of our lives combating a constant firehose of bugs. In the hope of reducing this pain for others in the future, we’re working on automating debugging. We’re currently working on a platform that ingests logs and then automatically reproduces, root causes and ultimately fixes production bugs as they happen. You can see some of our work on this here - https://news.ycombinator.com/item?id=39528087 As we were building the root-cause phase of our automated debugger, we realized that we developed…
2024 · github.com · its alternatives →
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- 18
An eBPF tool monitoring a goroutine. Contribute to keisku/gmon development by creating an account on GitHub.
2024 · github.com · its alternatives →
- 19EP
Hey HN! Esolang Park is an online visual debugger interface for esoteric programming languages, that I've been working on for the past few months. For every supported language, Esolang Park provides the powerful Monaco code editor, syntax checking, debugging functionality and a visualisation of the runtime state. The core is language-agnostic - a "language provider" only needs to implement the esolang's parser, interpreter and visualisation UI (and some other little stuff). Apart from trying to boost DX for esolangs, the idea is for this to grow into a platform where people can discover and…
2022 · esolangpark.vercel.app · its alternatives →
- 20
Hi HN, I'm Kaushik, and I built Rocketgraph. I believe that while other spaces have caught up to the AI wave, the observability space is still lagging behind, using the same tools and dashboards that we use to analyse logs from human-written code. But now the code is written and debugged by AI, so we need to rethink how we do observability where the observer itself is an AI. The problem that I run into is when an alert fires, I have to manually check the Grafana dashboards and write LogQL queries, which is pretty much like greping. But production usually breaks due to a schema mismatch, or a…
Jun 2026 · github.com · its alternatives →
- 21
Anamap▲87Finally, an AI that actually understands your analytics.
Apr 2026 · anamaps.com · its alternatives →
- 22
Hi HN, I'm the CEO at https://replay.io. We've been building a time travel debugger for web apps for several years now (previous HN post: https://news.ycombinator.com/item?id=28539247) and are combining our tech with AI to automate the debugging process. AIs are really good at writing code but really bad at debugging -- it's amazing to use Claude to prompt an app into existence, and pretty frustrating when that app doesn't work right and Claude is all thumbs fixing the problem. The basic reason for this is a lack of context. People can use devtools to understand…
2025 · nut.new · its alternatives →
- 23
2015 · github.com · its alternatives →
- 24
eBPF is an amazing technology that allows safely running user-supplied functions at pretty much arbitrary probe points in a kernel/user space context. Much has been written about how amazing this feature is for kernel observability. But as someone who writes user space code, what I find even more amazing is the support for tracing arbitrary user space programs, with no code changes and low overhead. However, doing in-depth analysis can get complicated and time-consuming. My goal with wachy was to make this debugging significantly easier/faster to use, by displaying traces in a TUI…
2022 · rubrikinc.github.io · 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 →