Search Results for "filezilla 32 bit"
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Showing 4 open source projects for "filezilla 32 bit"
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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Automate marketing campaigns, boost your brand awareness, capture and convert more leads, all in ONE intuitive platform.
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Listen 1
One for all free music in china (chrome extension)
.... Download the Windows zip file and choose the 32-bit or 64-bit version according to the system. The original web player, using Python to develop a web server. Can run directly on the server, or use the packaged Windows and Mac versions to run the web server locally. Windows, Mac, Linux desktop. Using Electron framework, based on Listen 1 Chrome plug-in version JS library development. -
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lcd-image-converter
Tool to create bitmaps and fonts for embedded applications.
This program allows you to create bitmaps and fonts, and transform them to "C" source format for embedded applications. The transformation of the images to the source code is made by using templates. Therefore, by modifying the templates, you can change the format of the output within certain limits. -
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Golden Crop is a Photoshop JS Script making cropping with respect to division rules (golden rule, 1/3 rule) very easy with visual guides. Requires installed Photoshop CS2, CS3, CS4 or CS5 (either x86 or amd64 version). Tested on Windows and Mac
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The Fury² Game Creation System is a game development toolkit for the 32-bit Windows platform, designed to allow the creation of complex multimedia software and games with minimal unnecessary effort (i.e. reinventing the wheel.)
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Simply "snap, notify and sign." PackageX is a simple yet powerful last-yard solution that will streamline the way you manage inbound deliveries, saving you from manually notifying the recipients and ultimately improving workplace productivity. The app uses Machine Learning and state of the art AI algorithms to extract information from package labels (even handwritten labels), and to match and route deliveries to the correct recipients. Lastly, the app collects signatures and notifies the recipient when the package is picked up, keeping everyone in the loop.
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