Best Open Source Fortran Debuggers

Fortran Debuggers

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Browse free open source Fortran Debuggers and projects below. Use the toggles on the left to filter open source Fortran Debuggers by OS, license, language, programming language, and project status.

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Agentic AI SRE built for Engineering and DevOps teams.
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1

MinGW - Minimalist GNU for Windows

A native Windows port of the GNU Compiler Collection (GCC)

MinGW: A native Windows port of the GNU Compiler Collection (GCC), with freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All of MinGW's software will execute on the 64bit Windows platforms.

223 Reviews

Downloads: 2,396,504 This Week

Last Update: 2021-09-05
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2

MinGW-builds

Dual-target (32 & 64-bit) MinGW-W64 compilers for 32 & 64-bit Windows

Projects joined MinGW-W64, and the new builds will be available on the MinGW-W64 site: https://sourceforge.net/projects/mingw-w64

29 Reviews

Downloads: 175 This Week

Last Update: 2016-11-29
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3

GNU Development Environment

GNUDE is a complete suite of GNU C, C++, Fortran, and Java Cross Compilers, and the GDB CPU Simulator and Debugger for embedded microprocessor applications development. Targets development for ARM7, ARM9, and XScale applications.

1 Review

Downloads: 1 This Week

Last Update: 2013-03-12
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4

UPS debugger

UPS is a source level C, C++ and Fortran debugger with an X windows interface. It's a very light debugger, but is quite efficient and works well. An ANSI compliant C interpreter is included.

1 Review

Downloads: 1 This Week

Last Update: 2013-04-15
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SoftCo: Enterprise Invoice and P2P Automation Software
For companies that process over 20,000 invoices per year

SoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.

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