Best LotusEye Alternatives in 2026

Browse AI enables code‑free web scraping and automation via a point‑and‑click interface. It captures dynamic, paginated, login‑protected data, auto‑detects site changes, exports to CSV/JSON/AWS S3, and streams into Google Sheets, Airtable, Zapier, APIs, and more.

Jungle AI provides real‑time performance monitoring for industrial assets using unsupervised learning. It ingests sensor data, eliminates on‑site hardware, offers context‑sensitive alarms, and predicts failures to enhance wind, solar, and maritime operations and maintenance.

Analytics Model consolidates data from 500+ connectors, supports on‑premises and cloud sources, and offers natural‑language querying to generate charts, pivot tables, and dashboards automatically, enabling non‑coding analysts to obtain instant insights, receive alerts, and integrate via APIs.

Scandilytics AI offers automated analytics for eCommerce, pulling GA4 or Adobe data, using ML to spot trends, anomalies, and optimization opportunities. It delivers concise reports and actionable insights for marketing, pricing, inventory, and risk alerts.

DropCSV automatically cleans and validates CSV/TSV/Excel uploads, applies AI to detect patterns, anomalies and generate natural-language explanations, builds interactive charts, dashboards and forecasts, exports reports and integrates with APIs and team workflows.

Data On Demand consolidates structured, unstructured, and streaming data into a single source of truth, providing machine‑learning‑driven forecasting, anomaly detection, and decision optimization. It offers real‑time dashboards, AI alerts, and predictive models in a secure, collaborative workspace.

BoostKPI ADA is an AI‑driven data analyst that accepts CSV, SQL, or cloud data, delivering instant, privacy‑protected insights via chat, heatmaps, and drill‑downs. It flags anomalies, encrypts data, and meets privacy regulations for analysts, scientists, and execs.

DataSquirrel.ai automates data cleaning, analysis, and visualization for business users, enabling quick chart creation, KPI dashboards, and custom reports without coding. It supports scheduled refreshes, GDPR compliance, and interactive sharing for teams and consultants.

Anilyst is an AI data analysis tool that simplifies insight extraction from various file formats. It offers automatic data visualization, natural language processing for analytical queries, and features like time-series forecasting and anomaly detection, fostering team collaboration.

ExcelDashboard AI transforms Excel data into interactive dashboards and reports with minimal effort. Users can generate insights using plain English, automate visualizations, and customize analyses, making it suitable for both beginners and experienced data analysts.

Scoop Analytics is an AI-powered platform that analyzes CRM, marketing, and sales data in real-time. It offers customizable reports and dashboards, helping business teams monitor key metrics and make data-driven decisions effectively.

AnalysAI is an AI-driven data analytics platform that integrates data from multiple sources, providing predictive analytics, enhanced customer insights, and interactive dashboards to streamline data analysis and support informed decision-making.

The Analyst Intelligence Platform automates SQL generation, data cleaning, and predictive analytics without coding. Integrated with BigQuery, Excel, and Sheets, it streamlines consolidation, currency conversion, KPI calculation, and cohort analysis, boosting accuracy and reducing manual effort.

Coupler.io is a data integration tool that synchronizes data from over 70 applications into dashboards, offering automated imports, customizable templates, and AI insights for effective monitoring of marketing, sales, and financial performance metrics.

Scandilytics AI extracts and interprets sales, traffic, and customer behavior data from GA4 or Adobe Analytics, spotting trends and anomalies to produce concise, actionable reports. It offers scheduled delivery, format options, and automated growth actions while keeping data for privacy.