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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.
A compact compiled templating language in Python which implements just about the features of TAL, METAL together with Zope's i18n extensions and whose aims are simplicity, full test coverage and complete documentation.
Our goal is to develop a full working solver for ATA (with 1 clock) in Python, with MTL to ATA support. The decidability for the emptiness problem was proposed by Lasota and Walukiewicz. The MTL to ATA was proposed by Ouaknine and Worrell.
"Yet Another Do-It-Yourself (Test) Automation Framework" specification. Use or modify one of the existing software implementations (hosted/referenced here), or implement the framework yourself. Download and read the spec for more details.
Turn traffic into pipeline and prospects into customers
For account executives and sales engineers looking for a solution to manage their insights and sales data
Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
NeuroKiwi is the application of the Associative Model (AM, previously dubbed AMDroid), being a model storing relational change-detections. The application tries to emulate ground-up knowledge accumulation with limited or no prior knowledge of shapes or patterns.
ODic stands for "Options Dictionary" and aims at creating standards for easier command line tool creation. At the moment it is focused on the 'odic' python module including new design patterns for python main functions.
Petaapan is exploring the opportunities that multi-touch displays present. Initially we are looking at tools to support agile development to provide a concrete target for the investigations.
The project is currently in Daubney simple text editor in the future code editor with advanced plug-in lighting system code, code completion and much more.. WE MOVED ON - http://github.com/onlyshk/Incedit
Never miss a sale. Square payment processing serves customers better with tools and integrations that make work more efficient.
Accept payments at your counter or on the go. It’s easy to get started. Try the Square POS app on your phone or pick from a range of hardworking hardware.
A message passing library addressing the special needs/capabilities of Qt applications. The basic building block for classic 3-tier applications where both client and server are Qt applications.
OrgLDAP is an extensible LDAP user management application supporting groups, *NIX (POSIX, Shadow), Samba and other account types, SSH public keys and sudo roles. It includes a reusable extensible library and a web-based front-end.
A python module for ultra simple handling of configuration files. Also useful for human readable data persistence. Flexible and simple.
Source and issue tracking now at:
https://github.com/DiffSK/configobj
Widgets, panels, forms, dialogs, and more that fit seamlessly into django. Django-ui is much more than a "template pack". It uses jQuery UI to develop usable django widgets, forms, etc to be used seamlessly with the django framework.
Simple and fast templating system for python 2 - needing nothing else than a separator like python´s semicolon. Documentation and code are together in one file - you can cut and paste the code from it.
Web gallery based on pre-generated metadata, typically according to directory structure, not database or an administration. Development moved to: http://github.com/martinkozak/fsgal.
This module goal is to make the debugging tool of python shell even better. By replacing a few methods in the sys module. Standard error traceback are more powerfull with bettererror.py.
The Location Containment Object Model(LCOM) is a simulation framework written in Python. LCOM provides a rule-based solution to handling partial object containment, object migration, message passing, and simulation observation.
PyHelper is a modular automatic documentation generator. Docs are generated directly from source code and can use different skins (python modules that render the documentation) to produce the doc-pages.
This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.