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### Alphabetical List of Tools

- ADF
**(Fortran77,Fortran95)**The vivlabs ADF Automatic Differentiation Software for FORTRAN delivers rapid integration of automatic differentiation capability to your new and existing applications on all operating system platforms. ADF automatically exploits the sparsity within your equation matrices, which leads to winning performance for both small, large and extremely large applications. - ADG
**(Fortran 77/90,Fortran77,Fortran95)**The Adjoint Code Generator (ADG) is a source-to-source transformation tool that is used for generating the adjoint model. Designed with the Least Program Behavior Decomposition Method, ADG supports global data dependent analysis and code optimization at a statement class. - ADOL-F
**(Fortran95)**The tool ADOL-F was an early attempt to use the overloading capabilities newly introduced to Fortran to create an execution trace. The idea was to replicate the format of the ADOL-C execution trace (aka the "tape") so that one could reuse the ADOL-C drivers to do the derivative computation. Because of the lack of a "destructor" for the active type that enables the execution trace, there was no means to curtail the growth of active locations (see ADOL-C). The tool is no longer maintained and listed here just to keep the record complete. - AUTO_DERIV
**(Fortran77,Fortran95)**AUTO_DERIV is a Fortran 90 module which can be used to evaluate the first and second derivatives of any continuous function with any number of independent variables. The function can be implicitly encoded in Fortran 77/90; only slight modifications in user code are required. - COSY INFINITY
**(Fortran77,Fortran95,C/C++)**COSY is an open platform to support automatic differentiation, in particular to high order and in many variables. It also supports validated computation of Taylor models. The tools can be used as objects in F95 and C++ and through direct calls in F77 and C, as well as in the COSY scripting language which supports dynamic typing. - DFT
**(Fortran 77/90,Fortran77,Fortran95)**DFT is a source-to-source transformation tool for generating the tangent linear model, and it supports global data dependent analysis and code optimization at a statement class. - HSL_AD02
**(Fortran95)**Provides automatic differentiation facilities for variables specified by Fortran code. Each active variable must be declared to be of a derived type defined by the package instead of real. The backward method is available for first and second derivatives. The forward method is available for derivatives of any order. - NAGWare Fortran 95
**(Fortran77,Fortran95)**The NAGWare Fortran 95 Compiler is being extended to provide AD functionality. The first prototype will be distributed to beta testers by November 2002. - OpenAD
**(C/C++,Fortran77,Fortran95)**OpenAD is a source transformation tool that provides a language independent framework for the development and use of AD algorithms. It interfaces with language specific front-ends via an XML representation of the numerical core. Currently, Open64 is the front-end for FORTRAN and EDG/Sage3 the front-end for C/C++. - Rapsodia
**(C/C++,Fortran95)**Rapsodia is Python based code generator the creates C++ or Fortran libraries to efficiently compute higher order derivatives via operator overloading. - TAF
**(Fortran 77/90,Fortran2003,Fortran2008,Fortran77,Fortran95)**Transformation of Algorithms in Fortran (TAF) is a source-to-source AD-tool for Fortran-95 programs. TAF supports forward and reverse mode of AD and Automatic Sparsity Detection (ASD) for detection of the sparsity structure of Jacobians. - TAPENADE
**(C/C++,Fortran77,Fortran95)**TAPENADE is a source-to-source AD tool. Given a FORTRAN77, FORTRAN95, or C source program, it generates its derivative in forward (tangent) or reverse (adjoint) mode. TAPENADE is the successor of ODYSSEE. TAPENADE is directly accessible through a web servlet, or can be downloaded locally. - TaylUR
**(Fortran95)**TaylUR is a Fortran 95 module to automatically compute the numerical values of a complex-valued function's derivatives w.r.t. several variables up to an arbitrary order in each variable, but excluding mixed derivatives. - Treeverse / Revolve
**(C/C++,Fortran77,Fortran95)**Revolve implements an efficient checkpointing algorithm for the exact computation of a gradient of a functional consisting of a (pseudo) time-stepping procedure.