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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
API Access
Has API
Integrations
ClickHouse
Elasticsearch
FastReport .NET
FastReport Desktop
Firebird
Gemini
Gemini Enterprise
IBM Db2
Llama
Mistral AI
Integrations
ClickHouse
Elasticsearch
FastReport .NET
FastReport Desktop
Firebird
Gemini
Gemini Enterprise
IBM Db2
Llama
Mistral AI
Pricing Details
$399.00/developer
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
Data Source Connectors
Drag & Drop
Drill Down
Email Reports
Financial Reports
Forecasting
Marketing Reports
OLAP
Report Export
Sales Reports
Scheduled / Automated Reports