CodeMap4AI
Sourcegraph
ConstellationDev
Continue.dev
ArchGen
smol developer
Architecto.dev
CodeCompanion.AI
GnuPlot
Matplotlib
GeoGebra CAS Calculator
GeoGebra
Dr. Geo
Giac/Xcas
Graph
MATLAB
CodeMap4AI helps AI understand your entire codebase by generating a structured map of your project. It minimizes hallucinations, improves code suggestions, and boosts productivityโespecially when using ChatGPT, Claude, or other AI assistants outside your IDE.
CodeMap4AI GnuPlotCodeMap4AI's answer
CodeMap4AI creates a lightweight, structured JSON map of your entire project that can be instantly understood by AI assistants like ChatGPT. Unlike most AI tooling, it works independently of your IDE, and itโs purpose-built to reduce AI hallucinations and improve the accuracy of code-related prompts.
CodeMap4AI's answer
Because it provides clean, AI-ready context without requiring IDE integration or sending code to external servers. Itโs fast, private, and works well in any setup โ from local terminals to AI chat interfaces. Itโs also helpful for humans, offering a high-level view of any codebase in seconds.
CodeMap4AI's answer
Developers who use AI tools (like ChatGPT, Claude, or Copilot) to write, refactor, or understand code โ especially those working on large, unfamiliar, or legacy projects. Also ideal for freelancers, indie developers, and teams onboarding new engineers.
CodeMap4AI's answer
CodeMap4AI started as a personal tool to stop ChatGPT from hallucinating when working on real-world PHP/JS projects. The creator realized that by giving the AI a clear map of all files, classes, and DB logic, its answers became dramatically better โ so the tool was refined and released for public use.
CodeMap4AI's answer
CodeMap4AI's answer
As of now, CodeMap4AI is growing and used mostly by indie developers, freelancers, and small teams. Named enterprise customers are not publicly listed, but early adopters include: - Freelance web developers - AI engineers building full-stack apps - PHP legacy code maintainers - Small software agencies
Based on our record, GnuPlot seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
To some extent it extends the concept of tasks which only can be reasonably executed after the completion of other ones (though results of branches eventually may join each other) and offers an additional assisting birds' eye visual of projects. So far, I'm aware about the documentation on worg interfacing org-taskjuggler and taskjuggler, as well as a video tutorial interfacing gnuplot instead. Source: about 3 years ago
Gnuplot is a program to plot diagrams. The Commands issued to use it don't change regardless if it is used in Linux/Windows/MacOS and it comes with less dependencies than a Spread sheet, or a statistics program. This is why I started to Become comfortable with it, and venture out some of its features. Here, "conditional plot" referred to "the diagram only displays a Thing/uses a pixel if the value in the table... Source: over 3 years ago
Or, does drawing diagrams refers to plotting data, but neither using matplotlib, nor gnuplot (export to .svg, .pdf, .png; pstricks, tikz to mention a few options)? Source: over 3 years ago
There may the occasion you actually need the data from a publication, and want to plot them altogether with data newly collected data in one diagram in common. An overlay, though possible, can become tricky (scaling, centering, alignment, etc.) and plotting all data in a diagram generated from scratch (gnuplot/octave, matplotlib, Origin, ...) exported as an illustration in the usual formats (.pdf/.png), or... Source: over 3 years ago
Have you looked at the graphing capabilities of Octave or Gnuplot? Gnuplot in particular has a lot of options, and a GUI for those who want it. Source: over 3 years ago
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