# Tools

> Every listed resource, editors’ picks first. The filters below can be combined.

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Resources for ML / AI or Data engineering or Research / Academia: 402 items.

> - ML / AI: Model training, evaluation and LLM application development.
> - Data engineering: Data pipelines, warehouse modeling, ETL and data quality.
> - Research / Academia: Literature search and reviews, experimental data analysis, paper writing and submission.

- [AWS HealthLake MCP Server](https://hebbmind.com/de/mcp/healthlake-mcp-server.md): [MCP] Official AWS MCP for managing FHIR health data in AWS HealthLake: CRUD, advanced search, full patient records, and import and export, with a read-only mode to prevent changes. Needs an AWS account, a paid HealthLake data store and local AWS credentials; clinical conclusions need professional review.
- [BabelDOC](https://hebbmind.com/de/cli/babeldoc.md): [CLI] PDF translation CLI for research papers that preserves formulas and layout as much as possible, producing bilingual side-by-side or translation-only PDFs. Needs an OpenAI-compatible API (local Ollama works too); currently focused on English to Chinese.
- [Apache SeaTunnel](https://hebbmind.com/de/cli/seatunnel.md): [CLI] Distributed data integration tool and Apache top-level project with 160+ connectors for batch, real-time and CDC sync. Define jobs in config files and run them on the built-in Zeta engine or on Flink or Spark. Requires Java.
- [PaperQA2](https://hebbmind.com/de/cli/paper-qa.md): [CLI] High-accuracy retrieval-augmented Q&A over paper PDFs, text and Office documents, filling in citation metadata, checking retractions and attaching traceable sources to answers. Provides the pqa CLI and a Python library. Needs an LLM API key by default; local models can be configured.
- [Local Deep Research](https://hebbmind.com/de/mcp/local-deep-research.md): [MCP] Deep research assistant that runs locally with a built-in MCP server: searches arXiv, PubMed, Wikipedia and more over multiple rounds and writes cited reports. Needs Python 3.12+, uv and an LLM (local Ollama or an API key); web search needs SearXNG or similar. Runs take minutes to half an hour.
- [VisiData](https://hebbmind.com/de/cli/visidata.md): [CLI] Terminal tool for exploring and wrangling tabular data: opens dozens of formats including CSV, JSON, Excel and SQLite for filtering, sorting, pivots and frequency counts. --batch mode replays actions headlessly or converts file formats.
- [Harness](https://hebbmind.com/de/plugin/harness.md): [Plugin] Say build a harness for this project and it designs a domain-specific agent team, generating subagent definitions, companion skills and orchestration, validates them and keeps evolving them from feedback. Supports workflow orchestration, persistent agent teams and subagent delegation.
- [Atlas](https://hebbmind.com/de/cli/atlas.md): [CLI] Manage database schemas as code: declare the desired schema in SQL, HCL or your ORM and Atlas plans, lints and applies migrations, and can export existing databases as HCL, SQL or Mermaid ER diagrams. Supports PostgreSQL, MySQL and a dozen other databases.
- [jc](https://hebbmind.com/de/cli/jc.md): [CLI] Converts the output of 100+ commands such as dig, ps, ls and ifconfig, plus common file formats, into JSON so agents can parse it reliably with jq or scripts. Also usable as a Python library.
- [Research Paper Writing Skills](https://hebbmind.com/de/skill/research-paper-writing-skills.md): [Skill] Turns Peng Sida's public research-writing notes into a skill: revises abstracts, introductions, methods and experiments of ML/CV/NLP papers from a reviewer's view, checks that each claim has experimental evidence, and runs a pre-submission self-check. Pure methodology, no API key.
- [MLX-Audio](https://hebbmind.com/de/cli/mlx-audio.md): [CLI] Offline speech toolkit for Apple Silicon Macs: CLI text-to-speech (including Chinese and voice cloning) and speech-to-text, for voicing lessons and explainer videos or transcribing lectures and interviews, with data staying local. Needs an M-series Mac and Python 3.10+; MP3 export needs ffmpeg.
- [dasel](https://hebbmind.com/de/cli/dasel.md): [CLI] Query, modify and convert JSON, YAML, TOML, XML, CSV, HCL, INI and more with one selector syntax, editing config files in place or converting between formats, handy for agents handling structured data in scripts. A single dependency-free binary that works much like jq or yq.
- [stable-diffusion.cpp](https://hebbmind.com/de/cli/stable-diffusion-cpp.md): [CLI] Diffusion model inference in pure C/C++: one sd-cli command runs SD, FLUX, Qwen Image, Wan and more locally to create or edit images and short videos, with Metal acceleration on Mac. No cloud needed; bring your own model weights and use a release binary or build from source.
- [Life Science Research](https://hebbmind.com/de/skill/openai-skills-5.md): [Skill] OpenAI's official life-science skills: 49 skills query public databases such as UniProt, ClinVar, gnomAD and AlphaFold through Python scripts, with a router skill that breaks down questions, normalizes entities and compiles sourced evidence. Written mainly for Codex.
- [Life Science Research](https://hebbmind.com/de/plugin/life-science-research.md): [Plugin] OpenAI's official Codex plugin with about 50 skills that route questions to genetics, omics, pathway, protein structure, chemistry and clinical evidence sources, can split the work across parallel subagents, and synthesize sourced conclusions.
- [Jupyter Notebooks](https://hebbmind.com/de/skill/jupyter-notebook.md): [Skill] Creates, edits and validates reproducible Python and SQL Jupyter notebooks: organizes cells as reports or tutorials, checks conclusions against actual output and reruns top to bottom before handoff. Maintained by OpenAI in the Data Analytics plugin of openai/plugins.
- [Life Sciences NGS Analysis](https://hebbmind.com/de/plugin/ngs-analysis.md): [Plugin] OpenAI's official Codex plugin that guides sequencing analysis from BCL/FASTQ: QC, RNA-seq differential expression, single-cell, variant calling and metagenomics, favoring nf-core and other public pipelines with reproducible run logs. Checks for local tools first. Research use only.
- [OpenAI Developers](https://hebbmind.com/de/plugin/openai-developers.md): [Plugin] Build with OpenAI best practices inside Codex: call the OpenAI API, build and deploy agents with the Agents SDK, create ChatGPT apps and prepare submission materials, and create API keys directly. Maintained by OpenAI; Codex only.
- [Consensus](https://hebbmind.com/de/plugin/consensus.md): [Plugin] Consensus's official Codex plugin: uses its remote MCP to search 220 million peer-reviewed papers for literature reviews, bibliographies, research gap analysis and cited writing. Needs a Consensus sign-in; the free tier returns a limited number of results.
- [Zotero](https://hebbmind.com/de/plugin/zotero.md): [Plugin] OpenAI's official Codex plugin that uses the local API of the Zotero desktop app to search your library, export BibTeX, insert citations into LaTeX or Markdown drafts, and import new references after you confirm. Requires Zotero desktop.
- [Codex PPT Skill](https://hebbmind.com/de/skill/codex-ppt-skill.md): [Skill] Turns articles, reports, papers or notes into a .pptx of full-slide images with speaker notes, in 12 styles such as lectures and thesis defenses; slide text is not editable. Needs Python 3; uses Codex's built-in image generation, or an OpenAI-compatible image API key in Claude Code.
- [Firecrawl MCP Server](https://hebbmind.com/de/mcp/firecrawl-mcp-server.md): [MCP] Scrapes web pages into Markdown or structured data, with full-site crawling, sitemaps, web search and interaction with dynamic pages. Maintained by Firecrawl; the cloud needs an API key (self-hosting is possible), and the keyless hosted endpoint only offers scrape, search and parse.
- [OpenCompass](https://hebbmind.com/de/cli/opencompass.md): [CLI] Open-source LLM evaluation platform: one opencompass command picks the model and datasets and runs the evaluation across hundreds of benchmarks. Works with local Hugging Face models and API models, with vLLM and LMDeploy for faster inference.
- [Jupytext](https://hebbmind.com/de/cli/jupytext.md): [CLI] Converts and two-way syncs Jupyter notebooks with plain Python scripts or Markdown, so agents can edit research and teaching notebooks like ordinary text and diffs stay readable. Needs a local Python environment; install with pip.
- [arxiv-latex-cleaner](https://hebbmind.com/de/cli/arxiv-latex-cleaner.md): [CLI] Cleans a LaTeX project before arXiv submission: removes comments, auxiliary files and unused .tex files and images, and can compress images, so internal notes are not published with the source. From Google Research; installable with Homebrew on macOS.
- [Trafilatura](https://hebbmind.com/de/cli/trafilatura.md): [CLI] Python library and CLI for extracting main web content: fetches pages, crawls via sitemaps and RSS feeds, strips headers, footers and other noise, and outputs TXT, Markdown, JSON, XML and more with metadata. Also processes downloaded HTML offline.
- [Anthropic Sandbox Runtime (srt)](https://hebbmind.com/de/cli/sandbox-runtime.md): [CLI] Anthropic's official OS-level sandbox CLI: restricts file and network access for agents, MCP servers and any command without containers, using sandbox-exec on macOS and bubblewrap on Linux. Currently a research preview.
- [Podcastfy](https://hebbmind.com/de/cli/podcastfy.md): [CLI] Open-source alternative to NotebookLM's podcast feature: turns web pages, PDFs, images, YouTube videos or text into two-host conversational audio, useful for lecture notes or articles. Uses Gemini and OpenAI API keys by default, or local models plus free Edge TTS.
- [Summarize](https://hebbmind.com/de/cli/summarize.md): [CLI] One command extracts or summarizes web pages, PDFs, YouTube videos, podcasts and media files, with JSON output. Summaries can use many model APIs, local models or a logged-in Codex or Claude CLI; plain extraction needs no key. Also has a browser sidebar extension.
- [Argos Translate](https://hebbmind.com/de/cli/argos-translate.md): [CLI] Open-source offline machine translation built on OpenNMT, usable as a CLI, Python library or GUI. Download language packages as needed; when no direct model exists it pivots through an intermediate language. Suits text you would rather not upload to the cloud.
- [Gemini Notebook CLI & MCP Server (notebooklm-mcp-cli)](https://hebbmind.com/de/mcp/notebooklm-mcp-cli.md): [MCP] Unofficial CLI and MCP that let agents work with NotebookLM (now Gemini Notebook): bulk-import sources, ask questions with citations, and generate audio overviews, quizzes, flashcards, mind maps and slides. Uses undocumented APIs and may break; needs a Google sign-in and uv.
- [Gemini Notebook (NotebookLM) CLI & MCP Server](https://hebbmind.com/de/cli/gemini-notebook-mcp-cli.md): [CLI] Unofficial nlm CLI and MCP server for NotebookLM (now Gemini Notebook): bulk-create notebooks, import web pages and docs, and generate audio overviews, quizzes, flashcards, mind maps and slides for teaching and study. Relies on undocumented APIs and a Google sign-in, so it may break.
- [csvkit](https://hebbmind.com/de/cli/csvkit.md): [CLI] Veteran suite of CSV command-line tools: in2csv converts Excel and JSON to CSV, csvcut, csvgrep and csvsort filter and sort, csvstat computes statistics, and csvsql runs SQL directly against CSV files.
- [Google Agents CLI Skills](https://hebbmind.com/de/skill/google-skills.md): [Skill] Google's official skills for building ADK agents: dev workflow, scaffolding, the ADK Python API, evaluation with LLM judges and adaptive rubrics, deployment to Agent Runtime, Cloud Run or GKE, publishing and observability. Works with agents-cli; local dev needs only an AI Studio key.
- [Quarto](https://hebbmind.com/de/cli/quarto-cli.md): [CLI] Posit's open-source scientific and technical publishing system built on Pandoc: embed Python, R or Julia code in Markdown or Jupyter notebooks, then quarto render produces HTML, PDF, Word, slides, websites and books.
- [Claude Scholar](https://hebbmind.com/de/skill/claude-scholar.md): [Skill] Semi-automated research workflow for computer science and AI researchers: ideation, Zotero literature management, experiment analysis and reports, paper writing and polishing, and rebuttals, with optional Obsidian knowledge base. 40+ skills; also installable as a Claude Code plugin.
- [Claude Scholar](https://hebbmind.com/de/plugin/claude-scholar.md): [Plugin] Semi-automated research assistant for CS and AI researchers that links ideation, Zotero literature management, experiment analysis and reporting, paper writing and reviewer responses, and keeps project knowledge in Obsidian. Branches for Codex and other agents exist.
- [Anti-Defensive Writing](https://hebbmind.com/de/skill/anti-defensive-writing-skill.md): [Skill] Fixes defensive academic writing full of hedging and preemptive disclaimers, organizing abstract, introduction, experiments and conclusion around your strongest contribution. Also helps trim length and self-check before a rebuttal. English and Chinese versions, plus a prompt for any AI chat.
- [Zotero MCP](https://hebbmind.com/de/mcp/zotero-mcp.md): [MCP] Connects to your local or cloud Zotero library: search by title, full text or semantics, read PDFs and annotations, add items by DOI and organize collections. Needs Python 3.10+; for local mode, enable the local API in Zotero settings first.
- [PySceneDetect](https://hebbmind.com/de/cli/pyscenedetect.md): [CLI] Detects shot changes in video and splits long footage into scenes, exporting cut lists and per-scene thumbnails, useful for shot analysis, organizing footage and finding edit points. Runs locally; needs Python 3.10+, plus FFmpeg or mkvmerge for splitting.
- [LM Studio CLI (lms)](https://hebbmind.com/de/cli/lms.md): [CLI] LM Studio's official CLI: list, load and unload local models, start and stop the local API server, and check status and logs; ls, ps and other commands support --json output for scripts and agents. Requires the LM Studio desktop app.
- [Tectonic](https://hebbmind.com/de/cli/tectonic.md): [CLI] Self-contained modern TeX/LaTeX engine based on XeTeX and TeX Live that downloads and caches support files on first build, compiling .tex to PDF in one command without installing a full TeX distribution.
- [PPTAgent Skill](https://hebbmind.com/de/skill/pptagent.md): [Skill] From ISCAS's Chinese Information Processing Lab: Claude Code or Codex write slides from your brief, render each page to check layout, and export an editable PPTX, for lectures and academic talks. Needs macOS, Linux or WSL with Python (uv), npm and LibreOffice; install per the README.
- [Exa MCP Server](https://hebbmind.com/de/mcp/exa-mcp-server.md): [MCP] Gives agents Exa web search and page content fetching, with an optional multi-step research agent and advanced filtered search. Maintained by Exa; the hosted service works anonymously with limits, and signing in or adding an API key raises them.
- [MCPorter](https://hebbmind.com/de/cli/mcporter.md): [CLI] CLI and TypeScript runtime for discovering and calling MCP servers from the terminal and scripts: list tool signatures and call tools directly, or generate a standalone CLI or typed client from a server. Auto-imports existing MCP configs from Claude Code, Codex and others.
- [Auto-Empirical Research Skills (AERS)](https://hebbmind.com/de/skill/auto-empirical-research-skills.md): [Skill] Empirical social science skills from Stanford REAP and CoPaper.AI, bundling 77 in-house and third-party collections: topic selection, literature reviews, DID/RD/IV identification, regression tables in Python, Stata or R, robustness audits and paper writing. Stata flows need Stata installed.
- [YouPlot](https://hebbmind.com/de/cli/youplot.md): [CLI] Draws bar charts, histograms, line charts, scatter plots and box plots in the terminal from CSV/TSV on stdin, so you can glance at data distributions at the end of a shell pipeline. The command is uplot.
- [proselint](https://hebbmind.com/de/cli/proselint.md): [CLI] English prose linter that turns usage guides such as Garner's and advice from great writers into rules, flagging clichés, redundancy, bad comparisons and usage errors line by line, with JSON output for agents. Runs locally with Python; English only.
- [Basic Memory](https://hebbmind.com/de/mcp/basic-memory.md): [MCP] Stores agent memory as local Markdown notes that both people and AI can read, write, search and link, and you can open them directly in Obsidian. Local-first, open source and free, with a paid cloud sync option.
- [mcp-obsidian](https://hebbmind.com/de/mcp/mcp-obsidian.md): [MCP] Uses Obsidian's community Local REST API plugin so agents can list, read, search, append to and delete notes, and insert content at a heading, block reference or frontmatter field. Install that plugin and configure its API key first.

Next page: https://hebbmind.com/de/tools.md?page=5&profession=algorithm%2Cdata-engineering%2Cresearch
