Search Results for "types"
Sort By:
Showing 12 open source projects for "types"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
EdgeDB
A next-generation graph-relational database
...It's like a relational database with an object-oriented data model, or a graph database with strict schema. We call it a graph-relational database. The core unit of schema in the graph-relational model is the object type, analogous to a table in SQL. Object types contain properties and can be linked to other object types to form a schema graph. -
2
SQL Explorer
Easily share data across your company via SQL queries
...Quickly write and share SQL queries in a simple, usable SQL editor, preview the results in the browser, share links, download CSV, JSON, or Excel files (and even expose queries as API endpoints, if desired), and keep the information flowing! Comes with support for multiple connections, to many different SQL database types, a schema explorer, query history (e.g. lightweight version control), a basic security model, in-browser pivot tables, and more. SQL Explorer values simplicity, intuitive use, unobtrusiveness, stability, and the principle of least surprise. SQL Explorer is inspired by any number of great query and reporting tools out there. -
3
Finance Database
This is a database of 300.000+ symbols containing Equities, ETFs, etc.
...It features 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets. It, therefore, allows you to obtain a broad overview of sectors, industries, types of investments and much more. The aim of this database is explicitly not to provide up-to-date fundamentals or stock data as those can be obtained with ease (with the help of this database) by using yfinance, FundamentalAnalysis or ThePassiveInvestor. -
4
Arctic TimeSeries and Tick store
High performance datastore for time series and tick data
...[VersionStore only] Does the chunking (breaking a Dataframe to smaller part for you. Has different types of Stores, each with it's own benefits. Eg. Versionstore allows you to version and snapshot stuff, TickStore is for storage and highly efficient retrieval of streaming data, ChunkStore allows you to chunk and efficiently retrieve ranges of chunks. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
5
sqlitedict
Persistent dict, backed by sqlite3 and pickle, multithread-safe
...Applications interact with stored data using familiar dictionary operations such as indexing, keys, values, items, and length. Values can contain any picklable Python object instead of being restricted to basic SQL types. Multiple independent dictionary tables can live inside the same SQLite database file. The library supports access to one connection from multiple threads while internally serializing database operations. Developers can enable automatic commits or explicitly control transactions for better performance. Custom serializers allow alternatives such as JSON or compressed binary values, and context-manager support automatically closes database connections. -
6
labman2
A web database for experimental results of research
A database with a web interface for storing the experimental results of research, aimed at ease of adding new types of data. Goal is to make adding as simple as one day for an unexperienced in programming scientist to add a new type of data similar to an existing type, by preparing two - three files analogues to the existing ones. An experienced programmer should need only one day to one week for adding a totally new kind of data like arrays with more dimensions that was available before. -
7
QAL
Query Abstraction Layer
...It uses XML/JSON formats(self-generated SQL schemas) for representing queries, transformation and merging, making it scriptable. This means that QAL can be backend agnostic about a subset of SQL features and data types. Of course custom SQL:s are also supported. It is currently distributed as a Python 3 Library (pip3 install python3-qal) and Debian .deb package. It is related the Optimal BPM project, see its Optimal Sync application for usage examples. The text of this page is released under the Creative Commons Zero Waiver 1.0 (CC0). -
8
PyProperties
Provides support for properties files in Python 3.x
pyproperties provides support for properties files in Python. Being written entirely from scratch it is not in any way derived from java.util.Properties. There are projects which try to mimic j.u.P. This is not one of them. It can read, parse and store properties files but also provides some more advanced functionality like manipulating comments and type-guessing. -
9
Desktop free-form text database in which each record may contain an arbitrary collection of fields. Each field and record has its own style and colour. Efficient text searching - text is indexed as it is entered. Inspired by Blackwell Idealist.
-
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
-
10
sMovieDB is a free software which will keep your movie database clean and ordered on a quick simple way. Manage genres, categories, types of films, etc. Developed in Python+Qt with MySQL or SQLite database for KDE desktop http://smoviedb.sourceforge.net
-
11
MilkCrate utilizes a new open-source markup language for tabular musical notation, and a unique wiki-styled web interface for data input. Users may generate a number of different document types to view the tabular notation, including .png, and PostScript
-
12
YakTrack is a lightweight issue-tracking system written in Python and using XML as a storage medium. Users may define issue types, submit and query issues, and edit existing issues as they wish. Console, email, and CGI interfaces are included.
- Previous
- You're on page 1
- Next
