Jam.py is an object-oriented, event-driven framework designed to help developers build web and desktop database applications. It has a tight DB/GUI coupling and is based on the DRY (don’t repeat yourself) principle, requiring only a few hundred lines of code to create a complex database application. The server side of the framework is written in Python, while the client uses JavaScript, jQuery and Bootstrap. It supports SQLite, PostgreSQL, MSSQL, MySQL, Firebird and Oracle databases. You can migrate between databases without changing the project. The actual development is done in the Application Builder, a piece of software written entirely in Jam.py. While working, you will need to have only two pages open in your browser – one for the project and one for the Application Builder. Jam.py supports authentication, authorization, session management, roles and permissions, and it comes with data-aware controls. Database tables are created and modified automatically, and the framework handles SQL queries generation as well. You can export a file that contains the project’s metadata (database structures, project parameters and code), which can then be loaded into another application to apply all the changes instantly. Finally, Jam.py can generate band-oriented reports based on LibreOffice templates, and you can use jsCharts or another charting library to visualize and analyze application data.
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You can access the Jam.py online documentation at: www.jam.py About Jam.py Software Jam.py is a database application framework that was designed in the university I was studying in the first half of 2013, when I was writing some web-based applications. I named it after a rubbish bag which I was carrying around that was torn, and I saw that you can jam things inside (Jam) – so I named the project ‘Jam’. When I presented the project to my university director, he was very impressed and asked me to create a client for it. That’s when the project began. I had to change the code until a client was developed, and the project never stopped growing. The database-oriented structure of the project was based on the DRY principle, and it was all done in just a few weeks. The project is currently distributed as a Jam.py package for Windows, Mac and Linux. Jam.py’s core features: Database-oriented development Jam.py is based on the DRY (Don’t Repeat Yourself) principle. Database tables are created and modified automatically by the project, and queries are performed within a structured environment. This means that when you need to execute a query, all you need is to do is to define the table and field names, and the framework will do the rest. You can use it for relational databases or NoSQL ones, but you’ll have to do a little bit of work to connect to any of them. Full stack object-oriented Jam.py is based on the OOP (Object-Oriented Programming) approach, and this enables you to create objects, classes, methods, events and actions to make your application have a more logical structure. You can even write functions, attributes and methods, and you can use Jam.py’s database-oriented environment to manage the code once created. You can store objects as database tables, you can create relationships between objects, use actions and events, create constants and variables, and create methods and classes. Real-time database When you want to create web or desktop applications, you need a database. Jam.py comes with a server application that enables the connection to any database – without any additional software installation. It supports SQLite, PostgreSQL, MSSQL, MySQL, Firebird and Oracle databases, so you won’t need to choose which one to use
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———————————————- Jam.py is a modern event-driven framework designed to help you create web and desktop database applications. It has a tight DB/GUI coupling and is based on the DRY (don’t repeat yourself) principle, requiring only a few hundred lines of code to create a complex database application. The server side of the framework is written in Python, while the client uses JavaScript, jQuery and Bootstrap. It supports SQLite, PostgreSQL, MSSQL, MySQL, Firebird and Oracle databases. You can migrate between databases without changing the project. The actual development is done in the Application Builder, a piece of software written entirely in Jam.py. While working, you will need to have only two pages open in your browser – one for the project and one for the Application Builder. Jam.py supports authentication, authorization, session management, roles and permissions, and it comes with data-aware controls. Database tables are created and modified automatically, and the framework handles SQL queries generation as well. You can export a file that contains the project’s metadata (database structures, project parameters and code), which can then be loaded into another application to apply all the changes instantly. Finally, Jam.py can generate band-oriented reports based on LibreOffice templates, and you can use jsCharts or another charting library to visualize and analyze application data. Jam.py Homepage: —————- Jam.py Community: —————- For any questions/comments or issues, please report to the Jam.py issue tracker: Jam.py Sourcecode: —————— Source code is available at the Jam.py Github site: Jam.py Downloads: —————– Jam.py is available for download from the Jam.py Sourceforge site: License: ——- Jam.py is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version. Jam.py is GPL-3.0+, LGPL-2.1+ and BSD. Jam.py is GNU Affero General Public License compatible. Jam.py Developer: ——————– 2f7fe94e24
Jam.py Framework
Jam.py, aka “JAM”, is an object-oriented and event-driven database framework written completely in Python. It is designed to make desktop and Web application development easier and faster. It is based on the DRY (don’t repeat yourself) principle, requiring only a few hundred lines of code to create a complex database application. It also supports authentication, authorization, session management, roles and permissions, and it comes with built-in data-aware controls and can generate reports based on LibreOffice templates. The primary focus of the framework is ease of development. Jam.py can be run on Linux, Mac OS X and Windows and uses SQLite, PostgreSQL, MSSQL, MySQL, Firebird and Oracle databases. You can migrate between databases without changing the project. An application made with Jam.py database framework is a “double-decker” application, in the sense that you can work in the Application Builder by just editing code directly in the browser while the database and user interface is generated for you in real time. As soon as you save your edits in the Application Builder, the database will be updated and the interface will be repainted. “Jam.py lets you debug in the database directly, and its database-to-GUI mapping is extremely tight, requiring only a few hundred lines of code to make a complex GUI application. There is zero need for code generation.” “Considering that Python is an interpreted language, Jam.py uses no JavaScript and is written in Python. This means that projects created with Jam.py will load up instantly in any browser and will use almost no memory.” “The project includes full support for adding multiple MySQL and SQLite databases, multiple data types, as well as multiple users on both local and remote databases. This should cover the database needs of almost any corporate, government, or self-hosted application.” “The programming model of Jam.py is first class, meaning that you can write a GUI application that will easily integrate with a database and vice-versa. This should eliminate having to write large chunks of code in both SQL and Python for every database operation.” “Another major advantage is the fact that Jam.py is written entirely in Python, which means that development will be much easier and faster for the developer.” “Another reason why Jam.py is great for database developers
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* Can be run standalone or integrated with Delphi, VCL or JVCL. * Supports web, desktop, mobile and system applications. * User interfaces created with Jam.py can be exported to.NET or Java! * Includes SQLite, SQL Server, Oracle, Firebird, MySQL and PostgreSQL JDBC drivers. * Database connection parameters can be passed at runtime in a configuration file or embedded in the code. * No recurring database migrations are needed, so the database schema is never locked for any * Parameters and code written with Jam.py can be stored in version control systems such as Git. * Database management, SQL queries, report generation, authentication, authorization, session management, roles and permissions are all included. * The Application Builder is written entirely in Python. * Reports can be exported as a CSV or XML file. * Supports authentication and data-aware controls. * Forms are automatically validated, and only fields that are required are validated. * Data-aware controls allow you to act only on required data; no duplication of code. * Forms are scalable, so you can adjust the size of controls by adjusting the form. * Support for multiple tables that share the same look and feel, and consist of at most 3 nested levels * Support for single-table, single-table-reference, multi-table-reference and multi-table reference forms. * No need for any additional frameworks to add files to the project. Jam.py makes sure you are always up-to-date with the latest database structures. * Support for ASP.NET and Java Server Pages * Support for Delphi and VCL * Support for native look and feel, with options for JVCL, Delphi and VCL. * Support for web and desktop applications * A purely event-driven architecture, which means that whenever possible, your application is performing database operations asynchronously. * No need for plug-ins. * Can be embedded in another application or run stand-alone. * Built-in permissions and authentication mechanisms mean that only authenticated users can access your application. * Can be developed using Jam.py in a single IDE or as a program. * Database database connection parameters can be passed at runtime in a configuration file or embedded in the code. * Includes Office Open XML, XML and JSON serializers. * Can read and write.NET and Java source code with version control systems such
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Minimum: OS: OS X 10.6 or higher. CPU: 1.8 GHz RAM: 1 GB Recommended: CPU: 2.5 GHz RAM: 2 GB What’s New: – Fixes an issue where some Steam Library folders could not be accessed. – Adds support for Windows 7. – Adds in-game option to to disable touchpad scrolling. – Adds in-game option to turn off mouse
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