LibreDB Studio icon
LibreDB Studio icon

LibreDB Studio

LibreDB Studio is a browser-based database client that is installed next to the database rather than on each user's machine. It runs as a single container, a Helm chart, an OpenShift operator, a native package (Homebrew, Snap, deb, rpm, winget), a desktop build for Linux, or...

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Cost / License

  • Free
  • Open Source (MIT)

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Platforms

  • Mac
  • Windows
  • Linux
  • Self-Hosted
  • Docker
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GitHub repository

  •  882 Stars
  •  178 Forks
  •  47 Open Issues
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Our users have written 1 comments and reviews about LibreDB Studio, and it has gotten 4 likes

LibreDB Studio was added to AlternativeTo by AbdullahKaya on and this page was last updated .

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cevheri
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sql/nosql and web-based: great cloud and kubernetes solution

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Featured in Lists

Open-Source Slopware

A list of open-source software containing slop (LLM generated) code or endorses the usage of LLMs in other ways. This list contains software that obviously accepts irresponsible coding practices or promotes LLM usage. I found these applications while searching for alternatives to previously used software that turned out to contain code generated by slop-machines. Each of added applications have at least one link that points to the verifiable proof. This list by no means is meant to cover all the software that contains code by not-so-intelligent tools and people using them but to serve as a reminder to myself about what I have already checked. Why having LLM generated code (and using generative tools in general) is bad? Ethical reasons — such as illegally retrieved training material, underpaid workers that prepare the training data. Impact on environment — increased fossil fuel usage to supply the needed electricity power, water usage in water scarce regions. This somewhat overlaps with the above. Social impact – noise pollution in neighbourhoods near AI data centres, air pollution from diesel- or gas-powered turbines (also overlaps with the above), resource consumption by data centres drastically increases utility prices. Impact on brain and thinking, reasoning — by offloading thinking and decision making to machines people are shooting in their foot (more like in their head) as this leads to brain rot. Less intelligent people are easier to control. Even legal issues (especially in open-source software as it cannot be guaranteed that the “generated” code is not really just re-used, thus unknowingly violating the source license). Inevitable enshittification — every software product from big technology eventually gets enshittified to maximize revenue. For users this could mean hidden or plain ads, biased opinions/information, privacy violations, increased prices for LLM based tools. Burden on open-source software maintenance — LLM tools provide easier access to code contributions which often shifts the responsibility of checking code quality from developers to maintainers and reviewers. Digging through walls of merge request text and code generated by slop-machines takes valuable time that otherwise could be spent more meaningfully by fixing bugs and working on new features. I will try to add links that back up the claims above, but it may take a while. Of course, I see how and where generative tools could be helpful and sometimes I feel tempted to find an acceptable way to use them, but for now the direct and indirect costs far too much outweigh gains. This list has its positive counterpart: Slop-Free (Supposedly) Open-Source Software (not quite complete yet). Also take a look at and give thumbs up to AI Slopfree Software Catalog which contains software dedicated against usage of LLMs. Also, here is a list of some labels that can be added / voted for so they would eventually appear on application pages: Slopware; Slop (LLM) Code; Slop-Source Software; Open-Source Slopware; Contains Slop (LLM Generated) Code.
By Edgars140 appsUpdated

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What is LibreDB Studio?

LibreDB Studio is a browser-based database client that is installed next to the database rather than on each user's machine. It runs as a single container, a Helm chart, an OpenShift operator, a native package (Homebrew, Snap, deb, rpm, winget), a desktop build for Linux, or as an npm package embedded in another product.

Sixteen drivers ship in the box: PostgreSQL, MySQL, Oracle, SQL Server, SQLite, libSQL, DuckDB, MongoDB, Redis, Couchbase, ClickHouse, Apache Druid, Elasticsearch, OpenSearch, Apache Trino and Cassandra. A further 26 engines speak one of those wire protocols and are reached through the same drivers, which brings the total to 42. All 26 were checked against running instances and the result for each one, including what did not work, is published in docs/providers/README.md.

The editor is Monaco, the same core used by VS Code, with schema-aware autocomplete, multiple tabs that keep independent execution state, visual EXPLAIN plans and a virtualised result grid for large sets.

The schema tools behave the same way on every supported engine: an explorer over tables, views and indexes, ER diagrams generated from real foreign keys with PNG and SVG export, schema snapshots on a timeline, and a diff between any two snapshots or two connections that produces migration SQL.

Natural language to SQL is optional and runs against a model you configure, which can be Gemini, OpenAI, Claude or a local model served through Ollama or LM Studio, so the schema does not have to leave the network.

Team features are part of the same build rather than a paid tier: OIDC single sign-on, role-based access control, a query audit trail, and column-level data masking. The project is MIT licensed.

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