Search Results for "telegram source code"
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Showing 4 open source projects for "telegram source code"
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Automate contact and company data extractionGenerate 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.
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Gradle
Adaptable, fast automation for all
Gradle is a build tool with a focus on build automation and support for multi-language development. If you are building, testing, publishing, and deploying software on any platform, Gradle offers a flexible model that can support the entire development lifecycle from compiling and packaging code to publishing web sites. Gradle has been designed to support build automation across multiple languages and platforms including Java, Scala, Android, Kotlin, C/C++, and Groovy, and is closely... -
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Gradle Xcode Plugin
gradle plugin for building Xcode Projects for iOS, watchOS, macOS
The Gradle Xcode Plugin allows developers to build, archive, package, and sign iOS and macOS applications using Gradle. It provides a bridge between Gradle and Xcode’s build tools, enabling multiplatform or Android+iOS projects to use a unified build system. This plugin supports key features like provisioning profile management, dependency integration, and command-line automation for Apple platform projects, making it ideal for CI/CD pipelines or hybrid environments. -
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Buildstep
Buildstep uses Docker and Buildpacks to build applications like Heroku
Buildstep is a Docker-based wrapper around Heroku-style Buildpacks. It takes in your app code as a tarball via STDIN, runs the builder script inside a container preloaded with multiple buildpacks, and generates a ready-to-run Docker image, including a generated start script from a Procfile. -
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Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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