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Automate contact and company data extraction
Build lead generation pipelines that pull emails, phone numbers, and company details from directories, maps, social platforms. Full API access.
Generate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
FortWrap is a python script that parses Fortran 90/95/200X source files and generates wrapper code in the form of C++ classes. FortWrap is intended to be used with object oriented Fortran code that makes use of Fortran derived types.
Project has moved to:
https://github.com/mcfarljm/fortwrap
WARNING: Project moved to http://github.com/scemama/irpf90
IRPF90 is a Fortran90 preprocessor written in Python for programming using the Implicit Reference to Parameters (IRP) method. It simplifies the development of large fortran codes in the field of scientific high performance computing.
BlockIt provides a Python framework to scan and parse a program file into constituent nested blocks, however defined, forming a block tree of your code and can be used as a mechanism to "extend" in some sense, the underlying programming language.
For companies looking to automate their consolidation and financial statement function
The software is cloud based and automates complexities around consolidating and reporting for groups with multiple year ends, currencies and ERP systems with a slice and dice approach to reporting. While retaining the structure, control and validation needed in a financial reporting tool, we’ve managed to keep things flexible.
Pyfort is a tool for creating extensions to the Python language with Fortran routines. It supports F77-interfaced routines now, with plans for supporting more of F90 later.