CodeGeeX

CodeGeeX

AMiner

About

Code Llama is a large language model (LLM) that can use text prompts to generate code. Code Llama is state-of-the-art for publicly available LLMs on code tasks, and has the potential to make workflows faster and more efficient for current developers and lower the barrier to entry for people who are learning to code. Code Llama has the potential to be used as a productivity and educational tool to help programmers write more robust, well-documented software. Code Llama is a state-of-the-art LLM capable of generating code, and natural language about code, from both code and natural language prompts. Code Llama is free for research and commercial use. Code Llama is built on top of Llama 2 and is available in three models: Code Llama, the foundational code model; Codel Llama - Python specialized for Python; and Code Llama - Instruct, which is fine-tuned for understanding natural language instructions.

About

We introduce CodeGeeX, a large-scale multilingual code generation model with 13 billion parameters, pre-trained on a large code corpus of more than 20 programming languages. Based on CodeGeeX, we develop a VS Code extension (search 'CodeGeeX' in the Extension Marketplace) that assists the programming of different programming languages. Besides the multilingual code generation/translation abilities, we turn CodeGeeX into a custom programming assistant using its few-shot ability. It means that when a few examples are provided as extra prompts in the input, CodeGeeX will imitate what are done by these examples and generate codes accordingly. Some cool features can be implemented using this ability, like code explanation, summarization, generation with specific coding style, and more. For example, one can add code snippets with his/her own coding style, and CodeGeeX will generate codes in a similar way. You can also try prompts with specific formats to inspire CodeGeeX for new skills.

About

Quickly write code by translating your comments into code, like in this example where we quickly create a Plotly bar chart. Create entire functions with ease, without searching for library methods and parameters. In this example, we created a function that loads df to AWS bucket in parquet format. Write SQL queries by providing CodeSquire with simple instructions on what you want to pull, join, and group by, like in the following example where we are trying to determine the top 10 most common names. CodeSquire can even help you understand someone else’s code, just ask to explain the function above, and get your explanation in plain text. CodeSquire can help you create complex functions that involve several logic steps. Brainstorm with it by starting simple and adding more complex features as you go.

About

dbForge Query Builder for SQL Server is a professional tool for designing complex SQL queries in a visual mode using query diagrams and drag-and-drop capabilities. The tool enables SQL developers to quickly and accurately create sophisticated queries without manual code typing, including queries with numerous subqueries. Key Features: - SQL statement builder executes created queries and edits tables data - Accelerate routine tasks with integrated AI Assistant - Construct data manipulation queries without manual coding - Auto Join of columns by primary/foreign key or name - Combine a few queries to a sub-query via visual SQL editor - Sort and filter data based on a custom complex criteria - Reverse engineer queries it into a visual representation - Use visual SQL query builder to profile designed queries dbForge Query Builder for SQL Server significantly reduces the need for manual code ty

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Users interested in a powerful, free, open source large language model for coding

Audience

Developers and teams that want an AI coding assistant to help them write code, or want to leverage it by on-premise hosting due to privacy reasons

Audience

Data scientists, engineers, and analysts searching for an AI code writing assistant solution that helps improve their productivity

Audience

Database developers and administrators

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

$129.95
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Meta
Founded: 2004
United States
ai.meta.com/blog/code-llama-large-language-model-coding/

Company Information

AMiner
China
codegeex.cn/

Company Information

CodeSquire
India
codesquire.ai/

Company Information

Devart
Founded: 1997
United States of America
www.devart.com

Alternatives

Alternatives

Alternatives

Alternatives

CodeGemma

CodeGemma

Google
CodeQwen

CodeQwen

Alibaba
CodeGeeX

CodeGeeX

AMiner
FastQueryBuilder

FastQueryBuilder

Fast Reports
Llama 2

Llama 2

Meta

Categories

Categories

Categories

Categories

Integrations

1min.AI
BLACKBOX AI
C
C++
CodeQwen
Databricks Data Intelligence Platform
Go
Google Cloud BigQuery
Jupyter Notebook
JupyterLab
Llama
Llama 2
Llama 3
Llama 3.2
Meta AI
Ollama
Pipeshift
Python
Tabby
Visual Studio Code

Integrations

1min.AI
BLACKBOX AI
C
C++
CodeQwen
Databricks Data Intelligence Platform
Go
Google Cloud BigQuery
Jupyter Notebook
JupyterLab
Llama
Llama 2
Llama 3
Llama 3.2
Meta AI
Ollama
Pipeshift
Python
Tabby
Visual Studio Code

Integrations

1min.AI
BLACKBOX AI
C
C++
CodeQwen
Databricks Data Intelligence Platform
Go
Google Cloud BigQuery
Jupyter Notebook
JupyterLab
Llama
Llama 2
Llama 3
Llama 3.2
Meta AI
Ollama
Pipeshift
Python
Tabby
Visual Studio Code

Integrations

1min.AI
BLACKBOX AI
C
C++
CodeQwen
Databricks Data Intelligence Platform
Go
Google Cloud BigQuery
Jupyter Notebook
JupyterLab
Llama
Llama 2
Llama 3
Llama 3.2
Meta AI
Ollama
Pipeshift
Python
Tabby
Visual Studio Code
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