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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.
LAME is an educational tool to be used for learning about MP3 encoding. The goal of the LAME project is to improve the psycho acoustics, quality and speed of MP3 encoding. Note: we provide source code only!
SEG-Y files need special compression because they don't compress well using gzip and the like. The code is cross-platform C++ using nothing else than standard system libraries. This is a spin-off from the OpendTect project (http://opendtect.org).
Java HTML/XML Compressor is a very small, fast and easy to use library that compresses given HTML or XML source by removing extra whitespaces, comments and other unneeded characters without breaking the content structure.
Numerically estimate an efficiency of code construction algorithms. Randomly generate n binary words of length m with minimum Hamming distance d and create a prefix code (= retrieval tree) from them. Based on PhD work.
A pure-Java compression library suitable as a drop-in replacement to current native implementations of java.util.zip. Typical scenarios where it is useful are applets, where access to native code is not allowed. It may also be useful on platforms where it
pgn2pgc converts text Portable Game Notation (PGN) chess files into highly compressed Portable Game Coding (PGC) chess files. This is the only implementation of PGC as described in the PGN standard. Code is also useful for writing chess software.
A human-readable ISC-Licensed implementation of the LZO1X algorithm.
...The main problem with LZO is that it is absolutely not human readable.
People have done crazy stuff to get LZO to run in their language. Usually it implies inline assembly or trying to execute data which actually contains machine code. This is sick. Whoever is responsible for this sorry situation ought to be ashamed.
So I'm going to deobfuscate LZO and provide a ISC implementation of this algorithm in Python and C. In addition, I will provide a textual description of the algorithm so that it can be easily ported to any programming language.
I expect a severe performance degradation, but I leave optimizing for speed to other people.