Search Results for "scsi-target-utils"
Sort By:
Showing 35 open source projects for "scsi-target-utils"
View related business solutions-
Cut Data Warehouse Costs up to 54% with BigQueryBigQuery delivers up to 54% lower TCO than cloud alternatives. Migrate from legacy or competing warehouses using free BigQuery Migration Service with automated SQL translation. Get serverless scale with no infrastructure to manage, compressed storage, and flexible pricing—pay per query or commit for deeper discounts. New customers get $300 in free credit.
-
Build on Google Cloud with $300 in Free CreditStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query exabytes in BigQuery, or build AI apps with Vertex AI and Gemini. Once your credits are used, keep building with 20+ products with free monthly usage, including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. Sign up to start building right away.
-
1
Adminer
Database management in a single PHP file
Adminer (formerly phpMinAdmin) is a full-featured database management tool written in PHP. Conversely to phpMyAdmin, it consist of a single file ready to deploy to the target server. Adminer is available for MySQL, MariaDB, PostgreSQL, SQLite, MS SQL, Oracle, Elasticsearch, MongoDB and others via plugin. Replace phpMyAdmin with Adminer and you will get a tidier user interface, better support for MySQL features, higher performance and more security. Connect to a database server with username and password. ... -
2
TinyDB
Document oriented database optimized for you
TinyDB is a lightweight document oriented database optimized for your happiness :) It's written in pure Python and has no external dependencies. The target are small apps that would be blown away by a SQL-DB or an external database server. The current source code has 1800 lines of code (with about 40% documentation) and 1600 lines tests. Like MongoDB, you can store any document (represented as dict) in TinyDB. TinyDB is designed to be simple and fun to use by providing a simple and clean API. ... -
3
SQL DAL Maker
A generator of DTO, Model, and DAO classes to access relational DB
SQL DAL Maker is a generator of DTO, Model, and DAO classes to access relational databases. Target programming languages: PHP, Java, C++, Python, and Go. To generate the class, you declare it in XML meta-program. At the stage of code generation, the target database must exist and be available for JDBC connection. Generated code is being synchronized with the current database schema using "live" JDBC metadata. Written in Java. -
4
SymmetricDS
Database Replication, Filtered Synchronization, and Transformation
SymmetricDS is database replication and file synchronization software. It is a platform-independent, web-enabled, and database-agnostic synchronization tool. With initial data load, bidirectional change data capture, conflict resolution, and data transformation, it is a comprehensive data replication solution. -
Managed MySQL, PostgreSQL, and SQL Databases on Google CloudCloud SQL is a fully managed relational database for MySQL, PostgreSQL, and SQL Server. We handle patching, backups, replication, encryption, and failover—so you can focus on your app. Migrate from on-prem or other clouds with free Database Migration Service. IDC found customers achieved 246% ROI. New customers get $300 in credits plus a 30-day free trial.
-
5
DMF: Distributed Multiplatform Framework
Development framework including code generator and UML ex/import
A component based programming framework. This project is aimed to support various target frameworks. A wxWidgets based GUI application is the major sample which also provides rapid database GUI design with UML import and export (db reverse engineering). -
6
Adminer
Database management in a single PHP file
Adminer (formerly phpMinAdmin) is a full-featured database management tool written in PHP. Conversely to phpMyAdmin, it consist of a single file ready to deploy to the target server. It is available for MySQL, PostgreSQL, SQLite, MS SQL, Oracle, Firebird, SimpleDB, Elasticsearch and MongoDB. -
7
GraphQLmap
GraphQLmap is a scripting engine to interact with endpoints
GraphQLmap is a Python-based scripting engine designed to interact with GraphQL endpoints for penetration testing purposes. It can connect to a target GraphQL endpoint, dump the schema (if introspection is enabled), query it interactively, and fuzz fields for NoSQL/SQL injection vectors, thereby revealing hidden attack surfaces. GraphQL endpoints represent a relatively newer attack vector compared to REST, and GraphQLmap helps bridge this gap by providing tooling tailored to the GraphQL paradigm. ... -
8
River Bass Database
Manage your Access MDB sales Database on LAN server with .NET client
...As a database application, it provides typical functions that allow data administration by System Admin (SQL commands), creating user accounts and giving them permission to write and view tables, through assigning them to an appropriate group of users. The program allows you to save one invoice or many invoices to a specific directory (data export) in HTML format. The user can specify the target directory, invoice language, and the invoice currency. The application also allows you to set the location path to the database file. The file can be placed on a network drive located in a LAN server. The network should be built with the Windows systems PC's. -
9
M2SQL
Replicate your Mumps Globals into Relational Data Base
...The Mapping process will describe the Mumps Globals data as a complex of Applications, Hierarchies, Relations and fields. Once mapping is completed you will able to replicate all the Mumps data into Target Relation database such as SQLITE or MYSQL. Normally you will do the replication process once a day while system is silent. This will give you a Relational Replication for Reporting or Business Analysis using industry standard tools. If you have a huge amount of data on your Mumps Globals you can choose an alternative mechanism in which only changes will be replicated to the target relational database and reflected almost immediately . ... -
Ship AI Apps Faster with Vertex AIShip AI apps and features faster with Vertex AI—your end-to-end AI platform. Access Gemini 3 and 200+ foundation models, fine-tune for your needs, and deploy with enterprise-grade MLOps. Build chatbots, agents, or custom models. New customers get $300 in free credit.
-
10
Synchronous structure of Database Script
Synchronous structure of Database Script
...Select the source database -> -> Load Tables -> Select Tables to exclude export ->Export current database -> .ini file. Step 2. Select the database to merge, upload the ini file in step 1. The code scans all tables of the source db and compares them to the target db 1. If the table in the source db does not exist in the destination db -> create the table in the destination db 2. If the table in the source db already exists in the destination db, it will browse all the columns in the source db's table. If the column in the source db does not exist in the target db's table, it will add this column for the table in the target db in the correct data type, default value, ... of the column in the source db table. -
11
Migrate data from any database to another with just selecting visually the desired tables in the source database (any database type supported by JDBC) and hit one button to complete it. New tables will be automatically created in the target database.
-
12
WebApp.rs
A web application completely written in Rust
A web application completely written in Rust. Target of this project is to write a complete web application including the backend and front within Rust. The app consists of a frontend and a backend. For getting started with hacking, the backend can be tested via make run-backend, whereas the frontend can be tested with make run-frontend. You can adapt the application configuration within Config.toml if needed. make deploy uses podman to start a PostgreSQL container and the Rust backend container. ... -
13
...I seemed a good idea and to not let it die I created this project It contains support for the creation of insert, delete, update and select, Just enter the name of function ls, schema.table and target schema where live the new functions. This is responsible for generating the stored procedure function requested (insert, delete, update, select and save)
-
14
nippleJS
A virtual joystick for touch capable interfaces
...The dom element in which all your joysticks will be injected. You can listen events both on the manager and all the joysticks. But some of them are specific to its instance. When listening on the manager, you can also target a joystick in particular by prefixing the event with its identifier. -
15
Datinator
Graphical database import/export and mapping tool
Datinator is a tool which allows user to import and export data from an arbitrary source (CSV, database, etc.) into an arbitrary target. The key feature is, that the the interface is a GUI which allows easy mapping from the input columns to the output columns along with a rudimentary set of manipulation actions. New datasources/-targets can be added via a plugin system. Currently there is support for three sources/targets - CSV, SQLite and Oracle. The tool is written in C++ using Qt 5.2.1 as it's GUI framework for easier porting. -
16
...This is just the base of the framework presenting the idea, any code template can be implemented upon request. Some sample generators are present for SQL / PLSQL / C# / AnsiC / Java The main target is to generate DTO/BDO/POJO objects based on the database definitions in multiple languages aligning all technologies used by a development team. If you are willing to contribute drop a message.
-
17
Toolsverse ETL Framework
Open source Extract Transform Load engine written in Java
...It includes executables for all major platforms and can be easily integrated into other applications. Key Features: * embeddable, open source and free * fast and scalable * uses target database features to do transformations and loads * manual and automatic data mapping * data streaming * bulk data loads * data quality features using SQL, JavaScript? and regex * data transformations Requirements * Java 1.6 and up * At least 4 MB of RAM New in 3.2 (01/18/2013) * Improved auto-update functionality * Bug fixes -
18
Standard chart of accounts ("Standardkontenrahmen") as needed by accounting software to meet German requirements. Includes tax automatics, data for creating "Umsatzsteuervoranmeldung", "BWA", "GuV" and "Bilanz" and utils for different accounting software.
-
19
Ontology MApping FRAmework Toolkit allows to create semantic relations between two (source and target) ontologies, and apply such relations in translating source ontology instances into target ontology instances.
-
20
Broadcast software for everything related to audio and station-management. For all-size broadcast radio- and TV-stations who want: Hard-disk audio recording, on-line newsroom, disc/media cataloguer, salesman utils (like contracts, invoices, etc).
-
21
Utilities and libraries for accessing (extracting data from, or modifying data in) and testing integrity of Clarion database files, and other files used by Clarion. See http://clarion-utils.sourceforge.net/ for more information.
-
22
Pre-compiler for C programs with Embedded SQL (ESQL), with capability to target MySQL, PostgreSQL, ODBC, and others. Can be used for new systems, or to port existing applications that were written using ESQL on Oracle Pro*C, HP NonStop, IBM DB2, etc.
-
23
This project is a fork of the sourceforge.net project artikel23. The target of this is to migrate the postgres database environment to the open source rdbm firebird Due a lack of time, I am not able to put work on this project
-
24
target of this tool is provide trasparent interface to database, for agile developemnt, code riutilization and less manutention. basic example: set('T',$data); write info in $data in table T get('T') return hashtable with all info in table T.
-
25
DabaBase Migration Tool (dbmt) is a tool and Java API to migrate data from different sources (XML,DBF,CSV,JDBC) to another (DBF,CSV,JDBC,TXT). Configured by an XML file defining source, target and schemas + transformations of the data.
