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Average Ratings 0 Ratings
Description
FastReport Mono is compatible with Windows, Linux and macOS. With FastReport Mono, you can create application-independent .NET and Mono reports. FastReport Mono can also be used as a standalone reporting tool.
- You can connect any database, use any table or create your own queries using SQL.
- To request parameters before running the report, you can add one or more dialog form to the report.
- You can use the built-in script to control the interaction between dialog form controls and perform complex data processing.
- You can view the result in the preview window. You can also print the report or save it to one of many popular formats.
FastReport Mono is written entirely in C#. It contains no managed code. It is compatible with Mono Framework 4.0 or higher. Full source code is available. FastReport Mono can be customized to meet your needs. License policy and price are reasonable.
Description
RankLLM is a comprehensive Python toolkit designed to enhance reproducibility in information retrieval research, particularly focusing on listwise reranking techniques. This toolkit provides an extensive array of rerankers, including pointwise models such as MonoT5, pairwise models like DuoT5, and listwise models that work seamlessly with platforms like vLLM, SGLang, or TensorRT-LLM. Furthermore, it features specialized variants like RankGPT and RankGemini, which are proprietary listwise rerankers tailored for enhanced performance. The toolkit comprises essential modules for retrieval, reranking, evaluation, and response analysis, thereby enabling streamlined end-to-end workflows. RankLLM's integration with Pyserini allows for efficient retrieval processes and ensures integrated evaluation for complex multi-stage pipelines. Additionally, it offers a dedicated module for in-depth analysis of input prompts and LLM responses, which mitigates reliability issues associated with LLM APIs and the unpredictable nature of Mixture-of-Experts (MoE) models. Supporting a variety of backends, including SGLang and TensorRT-LLM, it ensures compatibility with an extensive range of LLMs, making it a versatile choice for researchers in the field. This flexibility allows researchers to experiment with different model configurations and methodologies, ultimately advancing the capabilities of information retrieval systems.
API Access
Has API
No
API Access
Has API
Yes
Integrations
ClickHouse
Yes
Elasticsearch
Yes
FastReport Desktop
Yes
Firebird
Yes
Gemini
No
Gemini Enterprise
No
IBM Db2
Yes
Llama
No
Mistral AI
No
MongoDB
Yes
Integrations
ClickHouse
No
Elasticsearch
No
FastReport Desktop
No
Firebird
No
Gemini
Yes
Gemini Enterprise
Yes
IBM Db2
No
Llama
Yes
Mistral AI
Yes
MongoDB
No
Pricing Details
$399.00/developer
Standard $399.00/developer
Professional $1299.00/developer
Enterprise $6999.00/developer
Professional $1299.00/developer
Enterprise $6999.00/developer
Free Trial
Yes
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Fast Reports
Founded
1998
Country
United States
Website
www.fast-report.com/en/product/fast-report-mono/
Vendor Details
Company Name
Castorini
Country
Canada
Website
github.com/castorini/rank_llm/
Product Features
Reporting
Customizable Dashboard
Yes
Data Source Connectors
Yes
Drag & Drop
Yes
Drill Down
Yes
Email Reports
No
Financial Reports
Yes
Forecasting
Yes
Marketing Reports
Yes
OLAP
No
Report Export
Yes
Sales Reports
Yes
Scheduled / Automated Reports
Yes