Grafana
Prometheus
Datadog
NewRelic
Dynatrace
Splunk
Kibana
Zabbix
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
FlexiCapture
Amazon Textract
Parsio.io
Grafana DocParserGrafana is particularly recommended for IT professionals, data analysts, and engineers who need to monitor and visualize large datasets in real-time. It's ideal for organizations running complex systems or applications that require comprehensive monitoring to ensure uptime and performance are maintained. Additionally, Grafana is suitable for teams that value open-source solutions and require a platform that can integrate with multiple data sources and adapt to various monitoring needs.
Based on our record, Grafana seems to be a lot more popular than DocParser. While we know about 258 links to Grafana, we've tracked only 14 mentions of DocParser. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The JSON output file can be analyzed using various tools. One popular option is to use Grafana along with k6 Cloud. You can also use the built-in summary report that k6 provides at the end of the test run. - Source: dev.to / 2 months ago
Enable Application Logging, Monitoring and Alerting using services like CloudWatch or Grafana. - Source: dev.to / 2 months ago
For monitoring infrastructure, Prometheus and Grafana are widely used for pipeline metrics collection and alerting. For orchestration that includes built-in run observability, Apache Airflow tracks run history, task durations, and failure states in a web UI. Python with SQLAlchemy is the standard stack for custom pipeline implementation with relational state management. - Source: dev.to / 2 months ago
Prometheus lets you see this in real time. The vLLM metrics endpoint exposes vllm:gpu_cache_usage_perc and vllm:num_requests_waiting via a /metrics endpoint. Wire those up to Grafana, and youโll immediately see when youโre cache-bound versus compute-bound, which tells you exactly which optimization to reach for first. - Source: dev.to / 3 months ago
Grafana โ visualisation layer that renders live dashboards. - Source: dev.to / 4 months ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: about 3 years ago
DocParser: DocParser simplifies the extraction of structured data from various file formats, such as PDFs and scanned documents, directly into Google Sheets. By automating this process, DocParser saves valuable time and effort otherwise spent on manual data entry. Link to DocParser. Source: about 3 years ago
There are several tools available today that can help you extract tables from PDF files (such as Tabula), or even parse PDFs into structured JSON using AI (like Parsio -> I'm the founder) or without AI (like Docparser). Source: over 3 years ago
Thank you for sharing those! I didn't know them I've only checked this one https://docparser.com/ and I think my solution could be better because it will be easier for the user. Source: over 3 years ago
As previously suggested, if the layout of your PDFs never changes (consistent column widths in tables and placement), you can use a zonal PDF parser like DocParser. Alternatively, an AI-powered parser may be a better choice. Source: over 3 years ago
Prometheus - An open-source systems monitoring and alerting toolkit.
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.
Rossum - Rossum is AI-powered, cloud-based invoice data capture service that speeds up invoice processing 6x, with up to 98% accuracy. It can be easily customized, integrated and scaled according to your company needs.